Pivot/Transpose job on multiple columns in same report

Hi everyone, Had asked this before but the post was messy thus lead to no help. Reposting here for more clarity. I am currently dealing with a project involving Power Query and was hoping someone c...

Need Help

Anonymous

2 years ago

Hi Kev_Tord1 ,

Please refer to the following steps:

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("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", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [CALC_ID = _t, RESULT_ID = _t, ID = _t, NUM_OPTION_OFFERED = _t, OPTION_TYPE_DESC = _t, PB_Amount = _t, P_Amount = _t, L_Code = _t, L_Amount = _t, OPT_TYPE = _t, SB_Flag = _t, PR_Amount = _t, Recalculation_Flag = _t, Max_Amount = _t, RED_PERCENTAGE = _t]),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"CALC_ID", type text}, {"RESULT_ID", type text}, {"ID", type text}, {"NUM_OPTION_OFFERED", type text}, {"OPTION_TYPE_DESC", type text}, {"PB_Amount", Int64.Type}, {"P_Amount", Int64.Type}, {"L_Code", type text}, {"L_Amount", Int64.Type}, {"OPT_TYPE", type text}, {"SB_Flag", type text}, {"PR_Amount", Int64.Type}, {"Recalculation_Flag", type text}, {"Max_Amount", Int64.Type}, {"RED_PERCENTAGE", Int64.Type}}),
    #"Grouped Rows" = Table.Group(#"Changed Type", {"CALC_ID", "RESULT_ID", "ID", "NUM_OPTION_OFFERED"}, {{"Data", each _}}),
    #"Sorted Rows" = Table.Sort(#"Grouped Rows",{{"NUM_OPTION_OFFERED", Order.Ascending}}),
    #"Pivoted Column" = Table.Pivot(#"Sorted Rows", List.Distinct(#"Sorted Rows"[NUM_OPTION_OFFERED]), "NUM_OPTION_OFFERED", "Data"),
    #"Expanded OPT1" = Table.ExpandTableColumn(#"Pivoted Column", "OPT1", {"NUM_OPTION_OFFERED", "OPTION_TYPE_DESC", "PB_Amount", "P_Amount", "L_Code", "L_Amount", "OPT_TYPE", "SB_Flag", "PR_Amount", "Recalculation_Flag", "Max_Amount", "RED_PERCENTAGE"}, {"OPT1.NUM_OPTION_OFFERED", "OPT1.OPTION_TYPE_DESC", "OPT1.PB_Amount", "OPT1.P_Amount", "OPT1.L_Code", "OPT1.L_Amount", "OPT1.OPT_TYPE", "OPT1.SB_Flag", "OPT1.PR_Amount", "OPT1.Recalculation_Flag", "OPT1.Max_Amount", "OPT1.RED_PERCENTAGE"})
in
    #"Expanded OPT1"

If I have misunderstood your question, please feel free to contact me.

Best Regards,
Gao
Community Support Team

If there is any post helps, then please consider Accept it as the solution to help the other members find it more quickly.
If I misunderstand your needs or you still have problems on it, please feel free to let us know. Thanks a lot!

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let Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("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", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [CALC_ID = _t, RESULT_ID = _t, ID = _t, NUM_OPTION_OFFERED = _t, OPTION_TYPE_DESC = _t, PB_Amount = _t, P_Amount = _t, L_Code = _t, L_Amount = _t, OPT_TYPE = _t, SB_Flag = _t, PR_Amount = _t, Recalculation_Flag = _t, Max_Amount = _t, RED_PERCENTAGE = _t]), #"Changed Type" = Table.TransformColumnTypes(Source,{{"CALC_ID", type text}, {"RESULT_ID", type text}, {"ID", type text}, {"NUM_OPTION_OFFERED", type text}, {"OPTION_TYPE_DESC", type text}, {"PB_Amount", Int64.Type}, {"P_Amount", Int64.Type}, {"L_Code", type text}, {"L_Amount", Int64.Type}, {"OPT_TYPE", type text}, {"SB_Flag", type text}, {"PR_Amount", Int64.Type}, {"Recalculation_Flag", type text}, {"Max_Amount", Int64.Type}, {"RED_PERCENTAGE", Int64.Type}}), #"Grouped Rows" = Table.Group(#"Changed Type", {"CALC_ID", "RESULT_ID", "ID", "NUM_OPTION_OFFERED"}, {{"Data", each _}}), #"Sorted Rows" = Table.Sort(#"Grouped Rows",{{"NUM_OPTION_OFFERED", Order.Ascending}}), #"Pivoted Column" = Table.Pivot(#"Sorted Rows", List.Distinct(#"Sorted Rows"[NUM_OPTION_OFFERED]), "NUM_OPTION_OFFERED", "Data"), #"Expanded OPT1" = Table.ExpandTableColumn(#"Pivoted Column", "OPT1", {"NUM_OPTION_OFFERED", "OPTION_TYPE_DESC", "PB_Amount", "P_Amount", "L_Code", "L_Amount", "OPT_TYPE", "SB_Flag", "PR_Amount", "Recalculation_Flag", "Max_Amount", "RED_PERCENTAGE"}, {"OPT1.NUM_OPTION_OFFERED", "OPT1.OPTION_TYPE_DESC", "OPT1.PB_Amount", "OPT1.P_Amount", "OPT1.L_Code", "OPT1.L_Amount", "OPT1.OPT_TYPE", "OPT1.SB_Flag", "OPT1.PR_Amount", "OPT1.Recalculation_Flag", "OPT1.Max_Amount", "OPT1.RED_PERCENTAGE"}) in #"Expanded OPT1"

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Pivot/Transpose job on multiple columns in same report