Employee Shift Grouping

Hello CoreyB76 

you can add new column to check if an ID was split or was split. WIth this parameter you can filter your table (not splitted canceled) and make the check >16 only on rows that were not splitted. Here a practicable example

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjG0MDWzVNJRAiJDAz0DQz0jAyMDICe4tDgxT8E5sSg1PbMstQgo4pSfpOCcn1dcmgvm+nqBtJgDCefEvOTUnNQUpVgdiIGWZkBRuMnkGAtS6lhQUJRfhmysObqxRqQZa47VVEtThPeNYQa6pCYlVaIY6JWfkYdiYgBIjwV2I5FC1JxUI0F6A1LzUjLz0pViYwE=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Punch ID" = _t, #"Reference Punch ID" = _t, #"Date Of Service" = _t, Employee = _t, Client = _t, #"Cost Center" = _t, Hours = _t, Status = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"Punch ID", Int64.Type}, {"Reference Punch ID", Int64.Type}, {"Date Of Service", Int64.Type}, {"Employee", type text}, {"Client", type text}, {"Cost Center", type text}, {"Hours", Int64.Type}, {"Status", type text}}),
    AddIsSplit = Table.AddColumn
    (
        #"Changed Type",
        "IsSplit",
        each List.Contains(#"Changed Type"[Reference Punch ID], [Punch ID]),
        type logical
    ),
    FilterCancelNotSplitted = Table.SelectRows
    (
        AddIsSplit,
        each not ([Status]="Canceled" and [IsSplit]=false)
    ),
    AddWasSplit = Table.AddColumn
    (
        FilterCancelNotSplitted,
        "WasSplit",
        each List.Contains(AddIsSplit[Punch ID], [Reference Punch ID]),
        type logical
    ),
    Over16 = Table.AddColumn
    (
        AddWasSplit,
        "Over16",
        each if [WasSplit]= false and [Hours]>16 then true else false,
        type logical
    )
in
    Over16

Copy paste this code to the advanced editor in a new blank query to see how the solution works.

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Have fun

Jimmy