Consecutively dates. Merge multiple lines to one based on multiple criterias

[micjensen]

Hi Community

i have an issue that i can't solve myself.

My data table looks like this. I have a lot of rows that determines the work period for each employee. There are scenarios where an employee has several rows, but the dates are consecutive - so in these cases i want to tell my data model that these should be combined into 1 row, that indicates the start and end date for that trip.

Data Table:

Illustration of my issue / Request:

[micjensen]

Hi Community


i have an issue that i can't solve myself.

My data table looks like this. I have a lot of rows that determines the work period for each employee. There are scenarios where an employee has several rows, but the dates are consecutive - so in these cases i want to tell my data model that these should be combined into 1 row, that indicates the start and end date for that trip.

Data Table:

Illustration of my issue / Request:

[Anonymous · Accepted solution]

Hi @micjensen ,

According to your description, my suggestion is to implement it in power query.

(1)This is my test data.

(2)Add the following code in the advanced editor.

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("ndHNCsIwDADgVxk9D9pm/T2qLyB4HDsUV7zMDjp9fzPcTw9Oth4KCSEfTVLXxBptaSUqZUhJzj68ilNoo3cDpjcXWh8fLraYcHySgqbAADA2VHzDpjyoGCpXhNtMxVI7K0uYgXC2KtxkMFNr8hlg2QzwhJHZQ4FKmJyhRgY3w8XsjGtKIaYEQkJqrF36+PRd0fUBk2vXD3cX3xOilraSaMohg8C26vel9wp/rnyA2LrwXmJzn80H", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [#"Payroll No." = _t, #"First Name" = _t, Surname = _t, #"Sum of Count" = _t, #"Start Date" = _t, #"End Date" = _t]),
    #"Changed Type2" = Table.TransformColumnTypes(Source,{{"Sum of Count", Int64.Type}}),
    #"Changed Type1" = Table.TransformColumnTypes(#"Changed Type2",{{"Start Date", type date}, {"End Date", type date}}),
    test = Table.TransformColumnTypes(#"Changed Type1",{{"Payroll No.", type text}, {"First Name", type text}, {"Surname", type text}, {"Sum of Count", Int64.Type}, {"Start Date", type date}, {"End Date", type date}}),
    Custom1 = Table.Group(test,{"Payroll No.","First Name","Surname"},{"test",(x)=>List.Sort(x[Start Date] & List.Transform(x[End Date],(y)=>Date.AddDays(y,1)))            }),
    #"Expanded test" = Table.ExpandListColumn(Custom1, "test"),
    #"Added Custom" = Table.AddColumn(#"Expanded test", "Count", (x)=>Table.RowCount(Table.SelectRows(#"Expanded test",(y)=> y[test]=x[test] and y[#"Payroll No."]=x[#"Payroll No."]          ))  ),
    #"Filtered Rows" = Table.SelectRows(#"Added Custom", each ([Count] = 1)),
    aa = Table.RemoveColumns(#"Filtered Rows",{"Count"}),
    Custom2 = Table.AddColumn(Table.Group(   aa,{"Payroll No.","First Name","Surname"},{{"test",(x)=> List.Alternate(x[test],1,1,1)   } ,{"test2",(x)=>List.Transform(List.Alternate(x[test],1,1),(y)=>Date.AddDays(y,-1))          }}     ) ,"tt",(x)=> Table.FromColumns({x[test],x[test2]})       ),
    #"Removed Columns" = Table.RemoveColumns(Custom2,{"test", "test2"}),
    #"Expanded tt" = Table.ExpandTableColumn(#"Removed Columns", "tt", {"Column1", "Column2"}, {"Start Date", "End Date"}),
    #"Changed Type" = Table.TransformColumnTypes(#"Expanded tt",{{"Start Date", type date}, {"End Date", type date}}),
    #"Added Custom1" = Table.AddColumn(#"Changed Type", "Custom", (x)=>List.Sum(Table.SelectRows(#"Changed Type1",(y)=>y[Start Date]>=x[Start Date] and y[End Date]<=x[End Date] and y[#"Payroll No."]=x[#"Payroll No."]   )[Sum of Count] )            )
in
    #"Added Custom1"

(3) Then the result is as follows.

Best Regards,

Neeko Tang

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