Forum Discussion
Need help to get the conditional average in power query
- 5 years ago
Hi, Fowmy's solution surely works. When your dataset consists of 2k+ rows, you might try this,
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WCg1W0lEyNFCK1YGxTRFsIyQ2VIk3SBiJDVPuDVfiGIrKNERmQ1Q7OyLEwWwgMxYA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Country = _t, Value = _t]), #"Added Custom" = Table.AddColumn(Source, "Custom", each Table.Group(Source, {"Country"}, {{"grouped", each _}}){[Country = [Country]]}[grouped][Value]), Avg = Table.TransformColumns(#"Added Custom", {{"Custom", each List.Average(List.RemoveItems(List.Transform(_, Number.From), {0}))}}) in Avg - 5 years ago
Hello
the simplest thing is to include all in ONE Group-Step... the average except 0 and All rows (to keep the value-column for later)
Check it out
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WCg1W0lEyNFCK1YGxTRFsIyQ2VIk3SBiJDVPuDVfiGIrKNERmQ1Q7OyLEwWwgMxYA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Country = _t, Value = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"Value", type number}}), #"Grouped Rows" = Table.Group(#"Changed Type", {"Country"}, {{"Average", each List.Average(List.Select([Value], each _ >0)), type number}, {"AllRows", each _, type table [Country=text, Value=number]}}), #"Expanded AllRows" = Table.ExpandTableColumn(#"Grouped Rows", "AllRows", {"Value"}, {"Value"}) in #"Expanded AllRows"This function of the group-function makes the average without 0
{"Average", each List.Average(List.Select([Value], each _ >0)), type number}Copy paste this code to the advanced editor in a new blank query to see how the solution works.
If this post helps or solves your problem, please mark it as solution (to help other users find useful content and to acknowledge the work of users that helped you)
Kudoes are nice too
Have fun
Jimmy
Hi CNENFRNL ,
Could you please help me understand the 2nd and 3rd step?
Also kindly let me know the best way to learn the power query... I followed a book to learn, but it looks like I don't know anything 😞
Thanks and regards,
Vj
Hello
the simplest thing is to include all in ONE Group-Step... the average except 0 and All rows (to keep the value-column for later)
Check it out
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WCg1W0lEyNFCK1YGxTRFsIyQ2VIk3SBiJDVPuDVfiGIrKNERmQ1Q7OyLEwWwgMxYA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Country = _t, Value = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Value", type number}}),
#"Grouped Rows" = Table.Group(#"Changed Type", {"Country"}, {{"Average", each List.Average(List.Select([Value], each _ >0)), type number}, {"AllRows", each _, type table [Country=text, Value=number]}}),
#"Expanded AllRows" = Table.ExpandTableColumn(#"Grouped Rows", "AllRows", {"Value"}, {"Value"})
in
#"Expanded AllRows"
This function of the group-function makes the average without 0
{"Average", each List.Average(List.Select([Value], each _ >0)), type number}
Copy paste this code to the advanced editor in a new blank query to see how the solution works.
If this post helps or solves your problem, please mark it as solution (to help other users find useful content and to acknowledge the work of users that helped you)
Kudoes are nice too
Have fun
Jimmy