Forum Discussion
Index Column Based on ID and Date
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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- clim2f88j2 years agoFrequent Visitor
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.
- Anonymous2 years agoNot applicable
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
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- clim2f88j2 years agoFrequent Visitor
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.
- Sammyben2 years agoNew Member
I have same question but I need to create by id then category and then by date. Hiw can I add also the category?
- dufoq32 years agoCommunity Champion
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"