Find continuous shifts worked using Index

Hi Mkaur4360 ,

Please follow the below steps:

1. Group by the [UserID] and [StartTime]:

2. Add a index column:

3. Expand [FinshTime]:

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("ldJLCsAgDATQu7gWNFO/ZxHvf426qQlJK3QXeZhMxDEcOe9quAIiIMvpXyxpS2xZW2frB6OokUgoHRUmbBSbmLsXfWsLG3fJBjZoK2xFW2Wr2hpb09bZ+h+DCAMzESIOzEyIxrCdD7qO+5esOhlNQrPRIvR5wXkD", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [UserID = _t, StartTime = _t, FinishTime = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"UserID", Int64.Type}, {"StartTime", type date}, {"FinishTime", type date}}),
    #"Grouped Rows" = Table.Group(#"Changed Type", {"UserID", "StartTime"}, {{"Data", each _, type table [UserID=nullable number, StartTime=nullable date, FinishTime=nullable date]}}),
    #"Added Index" = Table.AddIndexColumn(#"Grouped Rows", "Index", 1, 1, Int64.Type),
    #"Expanded Data" = Table.ExpandTableColumn(#"Added Index", "Data", {"FinishTime"}, {"FinishTime"})
in
    #"Expanded Data"

Best Regards,
Gao
Community Support Team

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