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

The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now! Learn more

Reply
KatBous
Frequent Visitor

Identify duplicates and rank them based on another column shorting

Hi to everybody!

 

I have a table with position codes who can appear more than once as in one period can be many short term contracts.

Position codeStart DateEnd Date

a_001

01/01/202230/05/2022
a_00201/01/202230/01/2022
a_00201/02/202228/02/2022
a_00201/03/202230/04/2022
b_00101/06/202230/08/2022
b_00201/08/2022030/03/2022
b_00301/05/202230/06/2022
b_00302/07/202230/07/2022

 

I want to create in power query: a) a column e.g. duplicates based on which I can see the duplicate values, and b) for the duplicate ones to have a colum index with values for earliest to latest start date. This is how I imagine it:

 

Position codeStart DateEnd DateDuplicateDuplicate index

a_001

01/01/202230/05/2022no(1 or blank, haven't decided)
a_00201/01/202230/01/2022yes1
a_00201/03/202230/04/2022yes2
a_00201/02/202228/02/2022yes3
b_00101/06/202230/08/2022no(1 or blank, haven't decided)
b_00201/08/2022030/03/2022no1(1 or blank, haven't decided)
b_00301/05/202230/06/2022yes1
b_00302/07/202230/07/2022yes2

 

Any ideas?

2 REPLIES 2
AntrikshSharma
Super User
Super User

@KatBous Paste this code in the advanced editor:

let
    Source = Table.FromRows (
        Json.Document (
            Binary.Decompress (
                Binary.FromText (
                    "bc7BCcAgEETRXjwLjrPR2ItIMP0XEUFN1iDs5cNj2JxNvQBvrIF37QiyhcAh9Ci2G+6M3xtOw/TG34jeOT5zq3+iNmk1cydpI6uRYYI2cWPocGozopQH",
                    BinaryEncoding.Base64
                ),
                Compression.Deflate
            )
        ),
        let
            _t = ( ( type nullable text ) meta [ Serialized.Text = true ] )
        in
            type table [ #"Position code" = _t, #"Start Date" = _t, #"End Date" = _t ]
    ),
    ChangedType = 
        Table.TransformColumnTypes (
            Source,
            { { "Position code", type text }, { "Start Date", type date }, { "End Date", type date } },
            "en-GB"
        ),
    GroupedRows = 
    Table.Group (
            ChangedType,
            { "Position code" },
            {
                {
                    "Transformation",
                    ( Group ) =>
                        Table.AddIndexColumn (
                            Table.AddColumn (
                                Group,
                                "Duplicate",
                                each if Table.RowCount ( Group ) > 1 then "yes" else "no"
                            ),
                            "Duplicate Index",
                            1,
                            1
                        ),
                    type table [
                        Start Date = date,
                        End Date = date,
                        Duplicate = text,
                        Duplicate Index = Int64.Type
                    ]
                }
            }
        ),
    ExpandedTransformation = 
        Table.ExpandTableColumn (
            GroupedRows,
            "Transformation",
            { "Start Date", "End Date", "Duplicate", "Duplicate Index" },
            { "Start Date", "End Date", "Duplicate", "Duplicate Index" }
        )
in
    ExpandedTransformation

AntrikshSharma_0-1669724018680.png

 

Thank you @AntrikshSharma. This is exactly what I need.

 

But, since my query has already some steps in the editor, could you help me on how to add the above commands?

 

Or what I should replace in the above commands if I reference the existing query and apply in the new one the above commands? 

 

KatBous_1-1669731277129.png

 

 

Helpful resources

Announcements
Power BI DataViz World Championships

Power BI Dataviz World Championships

The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!

December 2025 Power BI Update Carousel

Power BI Monthly Update - December 2025

Check out the December 2025 Power BI Holiday Recap!

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.