Forum Discussion
Average and sum while pivot column
- 5 years ago
Here is one way to do it with Group By before the Pivot. To see how it works, just create a blank query, go to Advanced Editor, and replace the text there with the M code below.
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45Wcs4vzSspqlQwVNJRcswFcYAMIwMjA10DkJChgYFSrA6qssCSShQ1RqYYSoISS1JR1BjoYVGFxT4jIuwzxVRC2D4jTPuMsPjPCM0+EN/YDEMJin1GYPtAqmIB", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Country = _t, Attribute = _t, Month = _t, Value = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"Country", type text}, {"Attribute", type text}, {"Month", type date}, {"Value", type number}}), #"Grouped Rows" = Table.Group(#"Changed Type", {"Country", "Month", "Attribute"}, {{"ValueSum", each List.Sum([Value]), type nullable number}, {"ValueCount", each Table.RowCount(_), Int64.Type}}), #"Added Custom" = Table.AddColumn(#"Grouped Rows", "Value", each if [Attribute] = "Rate" then [ValueSum]/[ValueCount] else [ValueSum], type number), #"Removed Columns" = Table.RemoveColumns(#"Added Custom",{"ValueSum", "ValueCount"}), #"Pivoted Column" = Table.Pivot(#"Removed Columns", List.Distinct(#"Removed Columns"[Attribute]), "Attribute", "Value") in #"Pivoted Column"Regards,
Pat
- 5 years ago
Hello Anonymous
there is no way to do this with Pivot but with Table.Group. You can pack all your requirements in the functions of Table.Group. The trick is to filter the grouped table before summing or averaging. Here an example
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45Wcs4vzSspqlQwVNJRcswFcYAMIwMjA10DkJChgYFSrA6qssCSShQ1RqYYSoISS1JR1BjoYVGFxT4jIuwzxVRC2D4jTPuMsPjPCM0+EN/YDEMJin1GYPtAqmIB", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Country = _t, Attribute = _t, Month = _t, Value = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"Country", type text}, {"Attribute", type text}, {"Month", type text}, {"Value", type number}}, "en-US"), #"Grouped Rows" = Table.Group(#"Changed Type", {"Country", "Month"}, {{"Amount", each List.Sum(Table.SelectRows(_,each [Attribute]="Amount")[Value]), type number}, {"Qty", each List.Sum(Table.SelectRows(_,each [Attribute]="Qty")[Value]), type number}, {"Rate", each List.Average(Table.SelectRows(_,each [Attribute]="Rate")[Value]), type number}}) in #"Grouped Rows"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
Hello Anonymous
there is no way to do this with Pivot but with Table.Group. You can pack all your requirements in the functions of Table.Group. The trick is to filter the grouped table before summing or averaging. Here an example
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45Wcs4vzSspqlQwVNJRcswFcYAMIwMjA10DkJChgYFSrA6qssCSShQ1RqYYSoISS1JR1BjoYVGFxT4jIuwzxVRC2D4jTPuMsPjPCM0+EN/YDEMJin1GYPtAqmIB", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Country = _t, Attribute = _t, Month = _t, Value = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"Country", type text}, {"Attribute", type text}, {"Month", type text}, {"Value", type number}}, "en-US"),
#"Grouped Rows" = Table.Group(#"Changed Type", {"Country", "Month"}, {{"Amount", each List.Sum(Table.SelectRows(_,each [Attribute]="Amount")[Value]), type number}, {"Qty", each List.Sum(Table.SelectRows(_,each [Attribute]="Qty")[Value]), type number}, {"Rate", each List.Average(Table.SelectRows(_,each [Attribute]="Rate")[Value]), type number}})
in
#"Grouped Rows"
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