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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?
Solved! Go to Solution.
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"
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~ thanks for your answer, i will try it and i think your result told me it gonna work!
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
Did I answer your question correctly? Mark my answer as a solution!
Proud to be a Datanaut!
Hi, Thanks for your answer! i will try it!
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