Power BI is turning 10! Tune in for a special live episode on July 24 with behind-the-scenes stories, product evolution highlights, and a sneak peek at what’s in store for the future.
Save the dateEnhance your career with this limited time 50% discount on Fabric and Power BI exams. Ends August 31st. Request your voucher.
Hello Community
I found this code for dax, where the measure calculates the average days for the same id in multiple rows.
It works with DAX but I would like to do the same in Power Query, so that I can do the change in the data transformation.
Avg Activation Time =
var Oppy_id = 'Calculation'[Reference number]
Return
AVERAGEX( FILTER(ALL('Calculation'), 'Calculation'[Reference number] = Oppy_id), 'Calculation'[Activation (wd)])
Thanks a lot!
NewStep=Table.Group(PreviousStepName,"Reference Number",{"Avg Activation Time", each List.Average(List.RemoveNulls([#"Activation (wd)"]))})
Hi @jij19 ,
Could you please share some screenshots /your applied steps / sample data to help us clarify your scenario?
Best Regards,
Eyelyn Qin
Hi @jij19 ,
Please firstly use Group by:
Then expand necessary columns:
Below is the whole M syntax:
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WclTSUTI0UIrVgTAt4SwLOMsczHICsszgLFM4ywTMcgayjOEsIzDLBWS0UmwsAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Reference number" = _t, #"Activation (wd)" = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Reference number", type text}, {"Activation (wd)", Int64.Type}}),
#"Grouped Rows" = Table.Group(#"Changed Type", {"Reference number"}, {{"All", each _, type table [Reference number=nullable text, #"Activation (wd)"=nullable number]}, {"Average", each List.Average([#"Activation (wd)"]), type nullable number}}),
#"Expanded All" = Table.ExpandTableColumn(#"Grouped Rows", "All", {"Activation (wd)"}, {"Activation (wd)"})
in
#"Expanded All"
Best Regards,
Eyelyn Qin
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Thanks a lot, this works but when I expand all the other columns than the group by function doesn't work anymore and I get rows with the same Reference number.. How can I solve this?
And furthermore it also counts blanks rows for the average which is not the right solution for me 😞
Group by the [Reference number column] and create an average of [Activation (wd)]. Then restore the previous step to bring the full table back and add a new column grabbing the value from the step you inserted.
Check out the July 2025 Power BI update to learn about new features.