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HI All
Sorry if this is a rookie question.
I have this table [above] with severals months and their items. I'd like to put all the months together in one single column [like the table below].
How can I achieve that?
Thanks in advance
Solved! Go to Solution.
Thanks Greg, your answer inspired me to try something:
1) convert all fields to text type
2) concatenate each month with their respective item
3) Unpivot by these concatenated columns
4) delete the month/items columns
5) Split the concatenated column
6) Profit 🙂
Thanks Greg, we did this!
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WykosUNJRMjbUt9A3MjAyArINIXxzGN9EKVYnWqm0OBFNnRGaOlOwutTcVHSFxmgKzZRiYwE=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [region = _t, month1 = _t, item1 = _t, month2 = _t, item2 = _t]),
#"Split to columns" = Table.ToColumns(Source),
#"Combined tables" = let hdr = #"Split to columns"{0} in Table.Combine(List.Transform(List.Split(List.Skip(#"Split to columns"),2), each Table.FromColumns({hdr} & _)))
in
#"Combined tables"
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DAX is simple, but NOT EASY! |
@GabrielDC See attached PBIX below sig.
Thanks Greg, the thing is I have 12 months columns in the Table so that's going to be a lot of Tables and Appends in the Editor (which is messy already 😞 ), is there anything that can be done with Unpivot or Transpose?
@GabrielDC Understood but that's quite possibly the worst formatting for an Excel spreadsheet to ingest into Power BI possible. If you had this:
| Combined | 7/31/2022 | 8/31/2022 |
|
usa |
5 | 2 |
| japan | 10 | 3 |
| emea | 6 | 5 |
Then, yes, you could select "combined" column, right-click and select "Unpivot other columns". But, you don't have that.
Thanks Greg, your answer inspired me to try something:
1) convert all fields to text type
2) concatenate each month with their respective item
3) Unpivot by these concatenated columns
4) delete the month/items columns
5) Split the concatenated column
6) Profit 🙂
Thanks Greg, we did this!
@GabrielDC Very nice!
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