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clim2f88j's avatar
clim2f88j
Frequent Visitor
2 years ago

Index Column Based on ID and Date

Hello everyone,   I need to add an index column based on consumers ID and date.   Data: ID Date AAA 1/1/23 AAA 3/7/23 AAA 4/18/23 BBB 12/19/22 BBB 4/5/23 CCC 7/9/23 ...
Need Help
Anand24's avatar
Anand24
Super User
2 years ago

Hi clim2f88j ,
Create a calculated measure with below DAX:

Index =
RANKX (
    ALLEXCEPT('Table', 'Table'[ID]),
    CALCULATE ( MAX ( 'Table'[Date] ) ),
    ,
    ASC,
    DENSE
) - 1

Here's the result:

 

 

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clim2f88j's avatar
clim2f88j
Frequent Visitor
2 years ago

Thank you! That worked for the most part, but something i didn't account for is what if the dates are the same? 

Right now if the dates are the same for the same ID then they are getting the same index number. My dates don't have a timestamp.

 

If they have the same date/ID then i don't care which one gets the lower/higher index.

  • Anonymous's avatar
    Anonymous
    Not applicable
    2 years ago

    Hi clim2f88j ,

    Please try like:

    Index = 
RANKX (
    FILTER (
        ALL ( 'Table'[ID], 'Table'[Date] ),
        'Table'[ID] = EARLIER ( 'Table'[ID] )
    ),
    'Table'[Date],
    ,
    ASC,
    Dense
)

    Best Regards,
    Gao
    Community Support Team

     

    If there is any post helps, then please consider Accept it as the solution  to help the other members find it more quickly.
    If I misunderstand your needs or you still have problems on it, please feel free to let us know. Thanks a lot!

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    • clim2f88j's avatar
      clim2f88j
      Frequent Visitor
      2 years ago

      Thank you for helping me out but i get the following error with that DAX: EARLIER/EARLIEST refers to an earlier row context which doesn't exist.

       

      In your example, the AAA ID with the 3/7/2023 date have the same index. I need them to be different.

      • Anonymous's avatar
        Anonymous
        Not applicable
        2 years ago

        Hi Sammyben ,

        Please try sort by [ID] and [Date] first in ascending order in PowerQuery first:


        Then group them by [ID] and add an Index column.

        Expand columns and the output:

        Advanced editor:

        let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WcnR0VNJRMtQ31DcyMDJWitWBCRnrmxMhZKJvaIEQc3JyAhlmpG9oCRI0QhI00TdFV4cQigUA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [ID = _t, Date = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"ID", type text}, {"Date", type date}}),
    #"Sorted Rows" = Table.Sort(#"Changed Type",{{"ID", Order.Ascending}, {"Date", Order.Ascending}}),
    #"Grouped Rows" = Table.Group(#"Sorted Rows", {"ID"}, {{"Data", each Table.AddIndexColumn(_, "Index", 1, 1, Int64.Type)}}),
    #"Expanded Data" = Table.ExpandTableColumn(#"Grouped Rows", "Data", {"Date", "Index"}, {"Date", "Index"})
in
    #"Expanded Data"

        Best Regards,
        Gao
        Community Support Team

         

        If there is any post helps, then please consider Accept it as the solution  to help the other members find it more quickly.
        If I misunderstand your needs or you still have problems on it, please feel free to let us know. Thanks a lot!

        How to get your questions answered quickly --  How to provide sample data in the Power BI Forum