Forum Discussion
Rygar
2 years agoHelper II
count only clustered elements
Hello Community! I need to count only elements next to each other an not the single elements: 1 2 3 4 5 6 7 8 9 10 Result x x x x x x 5 x x x x x x ...
- 2 years ago
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WqlDSAWMFJBrGRsjF6kSjiFSgqULoAqlUwGEeKhumEtMMdB2xsQA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"1" = _t, #"2" = _t, #"3" = _t, #"4" = _t, #"5" = _t, #"6" = _t, #"7" = _t, #"8" = _t, #"9" = _t, #"10" = _t]), #"Added Index" = Table.AddIndexColumn(Source, "Row", 0, 1, Int64.Type), #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Added Index", {"Row"}, "Column", "Value"), #"Changed Type1" = Table.TransformColumnTypes(#"Unpivoted Other Columns",{{"Column", Int64.Type}}), #"Added Custom" = Table.AddColumn(#"Changed Type1", "Clustered", (k)=> if Table.RowCount(Table.SelectRows(#"Changed Type1",each [Row]=k[Row] and [Value]="x" and k[Value]="x" and ( [Column]=k[Column]-1 or [Column]=k[Column]+1))) >0 then 1 else 0,Int64.Type), #"Grouped Rows" = Table.Group(#"Added Custom", {"Row"}, {{"Result", each List.Sum([Clustered]), type number}}) in #"Grouped Rows"How to use this code: Create a new Blank Query. Click on "Advanced Editor". Replace the code in the window with the code provided here. Click "Done". Once you examined the code, replace the Source step with your own source.
- 2 years ago
Hi Rygar, another solution:
Result
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WqlDSAWMFJBrGRsjF6kSjiFSgqULoAqlUwGEeKhumEtMMdB2xsQA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"1" = _t, #"2" = _t, #"3" = _t, #"4" = _t, #"5" = _t, #"6" = _t, #"7" = _t, #"8" = _t, #"9" = _t, #"10" = _t]), Ad_Result = Table.AddColumn(Source, "Result", each [ a = List.Transform(Record.ToList(_), (x)=> if Text.Trim(x) = "x" then 1 else 0), b = List.Buffer({0} & List.PositionOf(a, 0, Occurrence.All)), c = List.Transform({0..List.Count(b)-1}, (x)=> try List.Range(a, if b{x}=0 then b{x} else b{x}+1, b{x+1} - b{x}- (if b{x}=0 then 0 else 1) ) otherwise {}), d = List.Sum(List.Combine(List.Select(c, (x)=> List.Sum(x) > 1))) ?? 0 ][d], Int64.Type) in Ad_Result - 2 years ago
p45cal challenge accepted 🙂
let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WqlDSAWMFJBrGRsjF6kSjiFSgqULoAqlUwGEeKhumEtMMdB2xsQA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"1" = _t, #"2" = _t, #"3" = _t, #"4" = _t, #"5" = _t, #"6" = _t, #"7" = _t, #"8" = _t, #"9" = _t, #"10" = _t]), #"Added Index" = Table.AddIndexColumn(Source, "Row", 0, 1, Int64.Type), #"Unpivoted Other Columns" = Table.UnpivotOtherColumns(#"Added Index", {"Row"}, "Column", "Value"), #"Grouped Rows" = Table.Group(#"Unpivoted Other Columns", {"Row", "Value"}, {{"Count", each Table.RowCount(_), Int64.Type}},GroupKind.Local), #"Filtered Rows" = Table.SelectRows(#"Grouped Rows", each ([Value] = "x") and ([Count] <> 1)), #"Grouped Rows1" = Table.Group(#"Filtered Rows", {"Row"}, {{"Result", each List.Sum([Count]), type number}}) in #"Grouped Rows1"