Forum Discussion
conditional group by
Hi, i am a new user for Power BI and i have one question right now,
there are four factors in the table, ID, A, B and C. I wanto to group by ID base on the value in A, B and C.
for example, for ID #1, there is a value( greater than 0) in factor B, so it should marked as group B.
For ID #2, it have value in factor A and B, so it should in both Group A and group B.
| ID | A | B | C |
| 1 | 0 | 2 | 0 |
| 2 | 1 | 1 | 0 |
| 3 | 0 | 0 | 2 |
| 4 | 1 | 0 | 1 |
Can anyone provided any idea who should i do this?
In power query, select the ID column and then unpivot other columns.
Filter the value on <> 0
or if you are looking for something more like this:
You can use this code:
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8nRR0lFyBGInIHZWitWJVjIEsgyA2AhMg0RALEMohogYQ9VA1IFETODyIDo2FgA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t, Column3 = _t, Column4 = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"Column1", type text}, {"Column2", type text}, {"Column3", type text}, {"Column4", type text}}), #"Promoted Headers" = Table.PromoteHeaders(#"Changed Type", [PromoteAllScalars=true]), #"Changed Type1" = Table.TransformColumnTypes(#"Promoted Headers",{{"ID", Int64.Type}, {"A", Int64.Type}, {"B", Int64.Type}, {"C", Int64.Type}}), #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Changed Type1", {"ID"}, "Attribute", "Value"), #"Filtered Rows" = Table.SelectRows(#"Unpivoted Other Columns", each ([Value] <> 0)), #"Grouped Rows" = Table.Group(#"Filtered Rows", {"ID"}, {{"Count", each _, type table}}), #"Added Custom" = Table.AddColumn(#"Grouped Rows", "Custom", each Table.SelectRows ( [Count], each [Value] >0 )), #"Added Custom1" = Table.AddColumn(#"Added Custom", "Custom.1", each Table.SelectColumns( [Custom], {"Attribute"} )), #"Added Custom2" = Table.AddColumn(#"Added Custom1", "Custom.2", each Table.ToList( [Custom.1] )), #"Removed Other Columns" = Table.SelectColumns(#"Added Custom2",{"Count", "Custom.2"}), #"Added Custom3" = Table.AddColumn(#"Removed Other Columns", "Factor ID", each List.Accumulate( [Custom.2], "", (state,current) => state & current), type text), #"Removed Columns" = Table.RemoveColumns(#"Added Custom3",{"Custom.2"}), #"Expanded Count" = Table.ExpandTableColumn(#"Removed Columns", "Count", {"ID", "Attribute", "Value"}, {"ID", "Attribute", "Value"}), #"Changed Type2" = Table.TransformColumnTypes(#"Expanded Count",{{"ID", Int64.Type}, {"Attribute", type text}}) in #"Changed Type2"
4 Replies
In power query, select the ID column and then unpivot other columns.
Filter the value on <> 0
or if you are looking for something more like this:
You can use this code:
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45W8nRR0lFyBGInIHZWitWJVjIEsgyA2AhMg0RALEMohogYQ9VA1IFETODyIDo2FgA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Column1 = _t, Column2 = _t, Column3 = _t, Column4 = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"Column1", type text}, {"Column2", type text}, {"Column3", type text}, {"Column4", type text}}), #"Promoted Headers" = Table.PromoteHeaders(#"Changed Type", [PromoteAllScalars=true]), #"Changed Type1" = Table.TransformColumnTypes(#"Promoted Headers",{{"ID", Int64.Type}, {"A", Int64.Type}, {"B", Int64.Type}, {"C", Int64.Type}}), #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Changed Type1", {"ID"}, "Attribute", "Value"), #"Filtered Rows" = Table.SelectRows(#"Unpivoted Other Columns", each ([Value] <> 0)), #"Grouped Rows" = Table.Group(#"Filtered Rows", {"ID"}, {{"Count", each _, type table}}), #"Added Custom" = Table.AddColumn(#"Grouped Rows", "Custom", each Table.SelectRows ( [Count], each [Value] >0 )), #"Added Custom1" = Table.AddColumn(#"Added Custom", "Custom.1", each Table.SelectColumns( [Custom], {"Attribute"} )), #"Added Custom2" = Table.AddColumn(#"Added Custom1", "Custom.2", each Table.ToList( [Custom.1] )), #"Removed Other Columns" = Table.SelectColumns(#"Added Custom2",{"Count", "Custom.2"}), #"Added Custom3" = Table.AddColumn(#"Removed Other Columns", "Factor ID", each List.Accumulate( [Custom.2], "", (state,current) => state & current), type text), #"Removed Columns" = Table.RemoveColumns(#"Added Custom3",{"Custom.2"}), #"Expanded Count" = Table.ExpandTableColumn(#"Removed Columns", "Count", {"ID", "Attribute", "Value"}, {"ID", "Attribute", "Value"}), #"Changed Type2" = Table.TransformColumnTypes(#"Expanded Count",{{"ID", Int64.Type}, {"Attribute", type text}}) in #"Changed Type2"Hello Anonymous
you can unpivot columns 'A', 'B' and 'C' and then filter out the 0's. With Power Query this should be quite easy
