Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

The Power BI Data Visualization World Championships is back! It's time to submit your entry. Live now!

Reply
PowerBICouple
Frequent Visitor

Remove Duplicated values in column

Hi Power Query community

 

I have a sheet with the following structure

 

ProjectAttribute
1

A

1B
2B

 

Thing is, the duplicated 1 value is a mistake as this is my project dimension. This is due to a manual input error. We're living with this manual setup for a bit, but I want to make sure this error doesn't mess up the model, so I would like to figure out a way in Power Query to delete the 1. Delete Duplicates doesn't work as the Attribute (there are many attribute columns) differentiates it and so it isn't a true duplicate. 

How do I make Power BI return only the 2|B column in the above example?

1 ACCEPTED SOLUTION
Vijay_A_Verma
Most Valuable Professional
Most Valuable Professional

See the working here - Open a blank query - Home - Advanced Editor - Remove everything from there and paste the below code to test (later on when you use the query on your dataset, you will have to change the source appropriately. If you have columns other than these, then delete Changed type step and do a Changed type for complete table from UI again)

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUXJUitWBsJzALCMIKxYA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Project = _t, Attribute = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Project", Int64.Type}, {"Attribute", type text}}),
    #"Grouped Rows" = Table.Group(#"Changed Type", {"Project"}, {{"Count", each Table.RowCount(_), Int64.Type}}),
    #"Merged Queries" = Table.NestedJoin(#"Changed Type", {"Project"}, #"Grouped Rows", {"Project"}, "Grouped Rows", JoinKind.LeftOuter),
    #"Expanded Grouped Rows" = Table.ExpandTableColumn(#"Merged Queries", "Grouped Rows", {"Count"}, {"Count"}),
    #"Filtered Rows" = Table.SelectRows(#"Expanded Grouped Rows", each [Count] = 1),
    #"Removed Columns" = Table.RemoveColumns(#"Filtered Rows",{"Count"})
in
    #"Removed Columns"

 -------------------------------------------------------------------------------------------------------

👍 It's been a pleasure to help you | Help Hours: 11 AM to 9 PM (UTC+05:30)

How to get your questions answered quickly -- How to provide sample data

-------------------------------------------------------------------------------------------------------

View solution in original post

2 REPLIES 2
Vijay_A_Verma
Most Valuable Professional
Most Valuable Professional

See the working here - Open a blank query - Home - Advanced Editor - Remove everything from there and paste the below code to test (later on when you use the query on your dataset, you will have to change the source appropriately. If you have columns other than these, then delete Changed type step and do a Changed type for complete table from UI again)

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUXJUitWBsJzALCMIKxYA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Project = _t, Attribute = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Project", Int64.Type}, {"Attribute", type text}}),
    #"Grouped Rows" = Table.Group(#"Changed Type", {"Project"}, {{"Count", each Table.RowCount(_), Int64.Type}}),
    #"Merged Queries" = Table.NestedJoin(#"Changed Type", {"Project"}, #"Grouped Rows", {"Project"}, "Grouped Rows", JoinKind.LeftOuter),
    #"Expanded Grouped Rows" = Table.ExpandTableColumn(#"Merged Queries", "Grouped Rows", {"Count"}, {"Count"}),
    #"Filtered Rows" = Table.SelectRows(#"Expanded Grouped Rows", each [Count] = 1),
    #"Removed Columns" = Table.RemoveColumns(#"Filtered Rows",{"Count"})
in
    #"Removed Columns"

 -------------------------------------------------------------------------------------------------------

👍 It's been a pleasure to help you | Help Hours: 11 AM to 9 PM (UTC+05:30)

How to get your questions answered quickly -- How to provide sample data

-------------------------------------------------------------------------------------------------------

That's a fantastic solution. The way of approaching the problem also taught me another way to solve problems in the future, so thank you very much!

Helpful resources

Announcements
Power BI DataViz World Championships

Power BI Dataviz World Championships

The Power BI Data Visualization World Championships is back! It's time to submit your entry.

January Power BI Update Carousel

Power BI Monthly Update - January 2026

Check out the January 2026 Power BI update to learn about new features.

FabCon Atlanta 2026 carousel

FabCon Atlanta 2026

Join us at FabCon Atlanta, March 16-20, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.