Forum Discussion
Helper ICalculate average based on dynamic column reference
Hello BartVW
in order to create a dynamically solution, you have to tell us what can be a rule, to select the correct columns. Here an example where I calculated the average of all columns that contain a ".". If this is your requirement, you can use the code, otherwise tell us all names of your columns, and we will find another logic. Replace the source-step and changedtype with your real data table
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSUTICYmMgNgFiUyA2A2JzpdhYAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t, #"007.2020" = _t, #"008.2020" = _t, #"009.2020" = _t, #"010.2020" = _t, Result = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"Column1", Int64.Type}, {"Column2", Int64.Type}, {"007.2020", Int64.Type}, {"008.2020", Int64.Type}, {"009.2020", Int64.Type}, {"010.2020", Int64.Type}, {"Result", Int64.Type}}), AddAverageOfMonths = Table.AddColumn ( #"Changed Type", "AverageMonth", (row)=> List.Average(Record.FieldValues(Record.SelectFields(row, List.Select(Table.ColumnNames(#"Changed Type"), each Text.Contains(_,"."))))) ) in AddAverageOfMonthsCopy paste this code to the advanced editor in a new blank query to see how the solution works.
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Kudoes are nice too
Have fun
Jimmy
Community SupportHi BartVW ,
Try this:
Add a custom column like so:
List.Average(List.RemoveLastN(List.RemoveFirstN(Record.FieldValues(_),4),1))
Or, try this:
1. UnPivot other columns.
2. Group.
3. Expand.
4. Pivot.
let
Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WcjZU0lEKAhEuICIARJgDsQUQWwKxoQGIAIkaGoEIMA/Ij9UB6gWJBIEIFxARYERArzGQMAICpdhYAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Country = _t, Retailer = _t, Division = _t, Product = _t, #"007.2020" = _t, #"008.2020" = _t, #"009.2020" = _t, #"010.2020" = _t, #"011.2020" = _t, #"012.2020" = _t, #"001.2021" = _t, Result = _t]),
#"Changed Type" = Table.TransformColumnTypes(Source,{{"Country", type text}, {"Retailer", type text}, {"Division", type text}, {"Product", type text}, {"007.2020", Int64.Type}, {"008.2020", Int64.Type}, {"009.2020", Int64.Type}, {"010.2020", Int64.Type}, {"011.2020", Int64.Type}, {"012.2020", Int64.Type}, {"001.2021", Int64.Type}, {"Result", Int64.Type}}),
#"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Country", "Retailer", "Division", "Product", "Result"}, "Attribute", "Value"),
#"Grouped Rows" = Table.Group(#"Unpivoted Other Columns", {"Country", "Retailer", "Division", "Product"}, {{"All", each _, type table [Country=nullable text, Retailer=nullable text, Division=nullable text, Product=nullable text, Result=nullable number, Attribute=text, Value=number]}, {"Avg", each List.Average([Value]), type number}}),
#"Expanded All" = Table.ExpandTableColumn(#"Grouped Rows", "All", {"Attribute", "Value"}, {"Attribute", "Value"}),
#"Pivoted Column" = Table.Pivot(#"Expanded All", List.Distinct(#"Expanded All"[Attribute]), "Attribute", "Value"),
#"Reordered Columns" = Table.ReorderColumns(#"Pivoted Column",{"Country", "Retailer", "Division", "Product", "007.2020", "008.2020", "009.2020", "010.2020", "011.2020", "012.2020", "001.2021", "Avg"})
in
#"Reordered Columns"
Best Regards,
Icey
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