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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
Solved! Go to Solution.
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"
Thanks to the great efforts by MS engineers to simplify syntax of DAX! Most beginners are SUCCESSFULLY MISLED to think that they could easily master DAX; but it turns out that the intricacy of the most frequently used RANKX() is still way beyond their comprehension! |
DAX is simple, but NOT EASY! |
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"
Thanks to the great efforts by MS engineers to simplify syntax of DAX! Most beginners are SUCCESSFULLY MISLED to think that they could easily master DAX; but it turns out that the intricacy of the most frequently used RANKX() is still way beyond their comprehension! |
DAX is simple, but NOT EASY! |
Perfect. Brilliant.
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"
Thanks to the great efforts by MS engineers to simplify syntax of DAX! Most beginners are SUCCESSFULLY MISLED to think that they could easily master DAX; but it turns out that the intricacy of the most frequently used RANKX() is still way beyond their comprehension! |
DAX is simple, but NOT EASY! |
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