Help with local maximums

[DBB99]

Hi all,

I would need some help with Power Query.

The point is that I have an Excel file with the data from 2 machines. I have joined both tables in a new one to have the data of both machines with different or simmilar NumOP (Operation number).

As you´ll see in the PBI attached, the column structure is: TIME, COMPA (component A), COMPB (component B), NumOP, IDmachine.

I would like to take the maximum values of COMPA and COMPB (same line) according to the Operation number (NumOP).

The main problem is that a machine could shutdown and restart  in 0 position (see the example), so the program should be able to give us an output like this:

So the final result would be:

Could you please help me on this topic??

Thank you so much for your support.

In this link you will find the Excel file and the PBI file

https://we.tl/t-jvPEDVGj1i

[AlB · Accepted solution]

Hi @DBB99 

Place the following M code in a blank query to see the steps of a possible solution

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("lY67DcAgDAVXiVwj4Q82kFWQ918jISJVUuDiJBf3rBsDWDJxZmQ8SE7skIBeClnreF+Cisbg6dfnxa6Pi11fgj0l2KPB/9H+MoNUI0VTNgssHrnW76KB+wU=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Time = _t, COMPA = _t, COMPB = _t, NumOP = _t, MachineId = _t]),
    #"Changed Type1" = Table.TransformColumnTypes(Source,{{"COMPB", type number}, {"COMPA", type number}}),
    #"Grouped Rows" = Table.Group(#"Changed Type1", {"MachineId"}, {{"GroupCol", each let s1_ = Table.AddIndexColumn(_,"Index", 1,1), s2_ = Table.Sort(s1_,{{"Index", Order.Ascending}}),
    list_ = List.Transform(List.Zip({s2_[COMPA], s2_[COMPB]}), each _{0}+_{1}),
    s3_ = Table.AddColumn(s2_, "Custom2", each List.Count(List.PositionOf(List.Range(list_,0,[Index]), 0, Occurrence.All)), Int64.Type) in s3_  }}),
    #"Expanded GroupCol" = Table.ExpandTableColumn(#"Grouped Rows", "GroupCol", {"Time", "COMPA", "COMPB", "NumOP", "Index", "Custom2"}, {"Time", "COMPA", "COMPB", "NumOP", "Index", "Custom2"}),
    #"Grouped Rows1" = Table.Group(#"Expanded GroupCol", {"MachineId", "Custom2"}, {{"COMPA", each List.Max([COMPA])}, {"COMPB", each List.Max([COMPB])}, {"NumOP", each [NumOP]{0}}}),
    #"Removed Columns" = Table.RemoveColumns(#"Grouped Rows1",{"Custom2"})
in
    #"Removed Columns"

Please accept the solution when done and consider giving a thumbs up if posts are helpful.  Contact me privately for support with any larger-scale BI needs, tutoring, etc.

[Syndicate_Admin · Accepted solution]

Hi @DBB99 

Place the following M code in a blank query to see the steps of a possible solution

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("lY67DcAgDAVXiVwj4Q82kFWQ918jISJVUuDiJBf3rBsDWDJxZmQ8SE7skIBeClnreF+Cisbg6dfnxa6Pi11fgj0l2KPB/9H+MoNUI0VTNgssHrnW76KB+wU=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Time = _t, COMPA = _t, COMPB = _t, NumOP = _t, MachineId = _t]),
    #"Changed Type1" = Table.TransformColumnTypes(Source,{{"COMPB", type number}, {"COMPA", type number}}),
    #"Grouped Rows" = Table.Group(#"Changed Type1", {"MachineId"}, {{"GroupCol", each let s1_ = Table.AddIndexColumn(_,"Index", 1,1), s2_ = Table.Sort(s1_,{{"Index", Order.Ascending}}),
    list_ = List.Transform(List.Zip({s2_[COMPA], s2_[COMPB]}), each _{0}+_{1}),
    s3_ = Table.AddColumn(s2_, "Custom2", each List.Count(List.PositionOf(List.Range(list_,0,[Index]), 0, Occurrence.All)), Int64.Type) in s3_  }}),
    #"Expanded GroupCol" = Table.ExpandTableColumn(#"Grouped Rows", "GroupCol", {"Time", "COMPA", "COMPB", "NumOP", "Index", "Custom2"}, {"Time", "COMPA", "COMPB", "NumOP", "Index", "Custom2"}),
    #"Grouped Rows1" = Table.Group(#"Expanded GroupCol", {"MachineId", "Custom2"}, {{"COMPA", each List.Max([COMPA])}, {"COMPB", each List.Max([COMPB])}, {"NumOP", each [NumOP]{0}}}),
    #"Removed Columns" = Table.RemoveColumns(#"Grouped Rows1",{"Custom2"})
in
    #"Removed Columns"

Please accept the solution when done and consider giving a thumbs up if posts are helpful.  Contact me privately for support with any larger-scale BI needs, tutoring, etc.

[AlB · Accepted solution]

Hi @DBB99 

Place the following M code in a blank query to see the steps of a possible solution

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("lY67DcAgDAVXiVwj4Q82kFWQ918jISJVUuDiJBf3rBsDWDJxZmQ8SE7skIBeClnreF+Cisbg6dfnxa6Pi11fgj0l2KPB/9H+MoNUI0VTNgssHrnW76KB+wU=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Time = _t, COMPA = _t, COMPB = _t, NumOP = _t, MachineId = _t]),
    #"Changed Type1" = Table.TransformColumnTypes(Source,{{"COMPB", type number}, {"COMPA", type number}}),
    #"Grouped Rows" = Table.Group(#"Changed Type1", {"MachineId"}, {{"GroupCol", each let s1_ = Table.AddIndexColumn(_,"Index", 1,1), s2_ = Table.Sort(s1_,{{"Index", Order.Ascending}}),
    list_ = List.Transform(List.Zip({s2_[COMPA], s2_[COMPB]}), each _{0}+_{1}),
    s3_ = Table.AddColumn(s2_, "Custom2", each List.Count(List.PositionOf(List.Range(list_,0,[Index]), 0, Occurrence.All)), Int64.Type) in s3_  }}),
    #"Expanded GroupCol" = Table.ExpandTableColumn(#"Grouped Rows", "GroupCol", {"Time", "COMPA", "COMPB", "NumOP", "Index", "Custom2"}, {"Time", "COMPA", "COMPB", "NumOP", "Index", "Custom2"}),
    #"Grouped Rows1" = Table.Group(#"Expanded GroupCol", {"MachineId", "Custom2"}, {{"COMPA", each List.Max([COMPA])}, {"COMPB", each List.Max([COMPB])}, {"NumOP", each [NumOP]{0}}}),
    #"Removed Columns" = Table.RemoveColumns(#"Grouped Rows1",{"Custom2"})
in
    #"Removed Columns"

Please accept the solution when done and consider giving a thumbs up if posts are helpful.  Contact me privately for support with any larger-scale BI needs, tutoring, etc.