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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:

IDDate
AAA1/1/23
AAA3/7/23
AAA4/18/23
BBB12/19/22
BBB4/5/23
CCC7/9/23
CCC9/1/23

 

What i'm looking for:

IDDateIndex
AAA1/1/23 1
AAA3/7/23 2
AAA4/18/23 3
BBB12/1/22 1
BBB4/5/23 2
CCC7/9/23 1
CCC9/1/23 2

 

The index column would tell me how many cases we have for that ID and then give it a value based on the date. So the oldest date would get a 1 and the next date a 2, and so on. But i need it to restart when it gets to the next ID.

 

Thank you all!

Need Help

7 Replies

  • 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

         

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    • Sammyben's avatar
      Sammyben
      New Member
      2 years ago

      I have same question but I need to create by id then category and then by date. Hiw can I add also the category?

      • dufoq3's avatar
        dufoq3
        Community Champion
        2 years ago

        Hi Sammyben, something like this? (if no provide sample data and expected result please)

         

        Result:

        let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WcnR0VNJRcjYEEob6hvpGBkbGSrE6KOLG+uYY4kY4xEHqTfQNLRASTk5OcAuM9A0tQTJG6DIm+qYYOoxQxGMB", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [ID = _t, Category = _t, Date = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"ID", type text}, {"Date", type date}}, "en-US"),
    #"Sorted Rows" = Table.Sort(#"Changed Type",{{"ID", Order.Ascending}, {"Date", Order.Ascending}}),
    #"Grouped Rows" = Table.Group(#"Sorted Rows", {"ID", "Category"}, {{"Data", each Table.AddIndexColumn(_, "Index", 1, 1, Int64.Type), type table}}),
    #"Combined Tables" = Table.Combine(#"Grouped Rows"[Data])
in
    #"Combined Tables"