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OAkanbi's avatar
OAkanbi
Frequent Visitor
5 years ago
Solved

Transforming a Single Column into Two Dates - Start and End

Hi There,


I'm having trouble converting a single column into a start and end date column using power query. The sticking point is that the column Status is used as an indicator for the end date. Here's what the data looks like.


Customer Date Status Overall_Rank Granular_rank
A 01/06/2021 Opt-In 1 1
A 10/06/2021 Opt-In 2 2
A 15/06/2021 OptOut 3 1
A 20/06/2021 Opt-In 4 3
A 30/06/2021 OptOut 5 2


I want to eventually arrive at this:


Customer StartDate EndDate
A 01/06/2021 15/06/2021
A 20/06/2021 30/06/2021


Any Ideas?


Jimmy

Need Help
  • CNENFRNL's avatar
    CNENFRNL
    5 years ago
    let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WclTSUTIw1Dcw0zcyMDIEcvwLSnQ984AMQzCO1YGoMTTApsYIjOFqTFHV+JeWABnGKOYYYTXHBKwOpsbYAJs5phC7YgE=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Customer = _t, Date = _t, Status = _t, Overall_Rank = _t, Granular_rank = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Overall_Rank", Int64.Type}}),
    Pos = List.Transform(List.PositionOf(#"Changed Type"[Status], "out", Occurrence.All, (x,y) => Text.Contains(x, y, Comparer.OrdinalIgnoreCase)), each _+2),
    Grouped = Table.Group(#"Changed Type", {"Customer", "Overall_Rank"}, {"ar", each let l=[Date] in [Start=l{0}, End=List.Last(l)]}, 0, (x,y) => Number.From(List.Contains(Pos, y[Overall_Rank]))),
    #"Expanded ar" = Table.RemoveColumns(Table.ExpandRecordColumn(Grouped, "ar", {"Start", "End"}, {"Start", "End"}), "Overall_Rank")
in
    #"Expanded ar"

3 Replies

  • CNENFRNL's avatar
    CNENFRNL
    Community Champion
    5 years ago
    let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WclTSUTIw1Dcw0zcyMDIEcvwLSnQ984AMQzCO1YGoMTTApsYIjOFqTFHV+JeWABnGKOYYYTXHBKwOpsbYAJs5phC7YgE=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Customer = _t, Date = _t, Status = _t, Overall_Rank = _t, Granular_rank = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Overall_Rank", Int64.Type}}),
    Pos = List.Transform(List.PositionOf(#"Changed Type"[Status], "out", Occurrence.All, (x,y) => Text.Contains(x, y, Comparer.OrdinalIgnoreCase)), each _+2),
    Grouped = Table.Group(#"Changed Type", {"Customer", "Overall_Rank"}, {"ar", each let l=[Date] in [Start=l{0}, End=List.Last(l)]}, 0, (x,y) => Number.From(List.Contains(Pos, y[Overall_Rank]))),
    #"Expanded ar" = Table.RemoveColumns(Table.ExpandRecordColumn(Grouped, "ar", {"Start", "End"}, {"Start", "End"}), "Overall_Rank")
in
    #"Expanded ar"

      • CNENFRNL's avatar
        CNENFRNL
        Community Champion
        5 years ago

        Here's a generic solution to your senario, which leverage an index column instead of Overall_Rank.

        let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WclTSUTIw1Dcw0zcyMDIEcvwLSnQ985RidSByhgZ45ExR5fxLS+ByRnj0GRtg0RcLAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Customer = _t, Date = _t, Status = _t]),
    #"Added Index" = Table.AddIndexColumn(Source, "Index", 0, 1, Int64.Type),
    Pos = List.Transform(List.PositionOf(#"Added Index"[Status], "out", Occurrence.All, (x,y) => Text.Contains(x, y, Comparer.OrdinalIgnoreCase)), each _+1),
    Grouped = Table.Group(#"Added Index", {"Customer", "Index"}, {"ar", each let l=[Date] in [Start=l{0}, End=List.Last(l)]}, 0, (x,y) => Number.From(List.Contains(Pos, y[Index]))),
    #"Expanded ar" = Table.RemoveColumns(Table.ExpandRecordColumn(Grouped, "ar", {"Start", "End"}, {"Start", "End"}), "Index")
in
    #"Expanded ar"