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dpbi's avatar
dpbi
Helper I
8 years ago
Solved

IF function - single value selcteded from a row

Hi 

 

I Have a table with 3 Columns (A, B, C) that contain numbers between 1 - 10.   

I need to create a new table (or add custom columns to the first table),

that check for the occurrence of each number in the left table. If yes show "1", else show "0".

 

The result table should look like the table on the right.

                         

A   B  C            D   E  F   G   H   I    J   K  L  M   

2   4   8             0   1   0   1   0   0   0   1   0   0 

5   1   7             1   0   0   0   1   0   1   0   0   0

8   9   6             0   0   0   0   0   1   0   1   1   0       

 

I can do it by adding custom column for each one of the  1-10 numbers as follow:

 

if [A] = 1 or [B] = 1 or [C] = 1 then 1 else 0 

if [A] = 2 or [B] = 2 or [C] = 2 then 1 else 0 ,etc.

 

My question:

1. Is there a way (M or DAX) to use the if function to select a row instead of

 using the 'or' operator for each column?  

2. Is there a way to add these custom columns from a list or a function

instead of adding them one by one?

 

 

Thanks for the help.

 

 

  • MarcelBeug's avatar
    MarcelBeug
    8 years ago

    That is a nice and easy solution.

     

    An alternative with some more programming, would be:

     

    let
        Source = Excel.CurrentWorkbook(){[Name="Input"]}[Content],
        Typed1 = Table.TransformColumnTypes(Source,{{"A", Int64.Type}, {"B", Int64.Type}, {"C", Int64.Type}}),
        AddedLists = Table.AddColumn(Typed1, "Custom", (row) => List.Transform({1..10}, each if List.Contains(Record.FieldValues(row),_) then 1 else 0), type {Int64.Type}),
        Tabled = Table.TransformColumns(AddedLists,{{"Custom", each Table.FromRows({_},{"D".."M"}), type table}}),
        Expanded = Table.ExpandTableColumn(Tabled, "Custom", {"D".."M"}),
        Typed2 = Table.TransformColumnTypes(Expanded,List.Transform({"D".."M"}, each {_, Int64.Type}))
    in
        Typed2

4 Replies

  • Hi,

     

    Yes, it is possible to solve this in M.

     

    let
        Source = Excel.CurrentWorkbook(){[Name="Data"]}[Content],
        #"Changed Type" = Table.TransformColumnTypes(Source,{{"Number1", Int64.Type}, {"Number2", Int64.Type}, {"Number3", Int64.Type}}),
        #"Added Custom" = Table.AddColumn(#"Changed Type", "Start from", each 1),
        #"Added Custom1" = Table.AddColumn(#"Added Custom", "End at", each 10),
        #"Added Custom2" = Table.AddColumn(#"Added Custom1", "Custom", each { Number.From([Start from])..Number.From([End at]) }),
        #"Expanded Custom" = Table.ExpandListColumn(#"Added Custom2", "Custom"),
        #"Removed Columns" = Table.RemoveColumns(#"Expanded Custom",{"Start from", "End at"}),
        #"Reordered Columns" = Table.ReorderColumns(#"Removed Columns",{"Custom", "Number1", "Number2", "Number3"}),
        #"Added Custom3" = Table.AddColumn(#"Reordered Columns", "Custom.1", each if [Number1]=[Custom] or [Number2]=[Custom] or [Number3]=[Custom] then 1 else 0),
        #"Pivoted Column" = Table.Pivot(Table.TransformColumnTypes(#"Added Custom3", {{"Custom", type text}}, "en-US"), List.Distinct(Table.TransformColumnTypes(#"Added Custom3", {{"Custom", type text}}, "en-US")[Custom]), "Custom", "Custom.1")
    in
        #"Pivoted Column"

    Hope this helps.

    • MarcelBeug's avatar
      MarcelBeug
      Community Champion

      That is a nice and easy solution.

       

      An alternative with some more programming, would be:

       

      let
          Source = Excel.CurrentWorkbook(){[Name="Input"]}[Content],
          Typed1 = Table.TransformColumnTypes(Source,{{"A", Int64.Type}, {"B", Int64.Type}, {"C", Int64.Type}}),
          AddedLists = Table.AddColumn(Typed1, "Custom", (row) => List.Transform({1..10}, each if List.Contains(Record.FieldValues(row),_) then 1 else 0), type {Int64.Type}),
          Tabled = Table.TransformColumns(AddedLists,{{"Custom", each Table.FromRows({_},{"D".."M"}), type table}}),
          Expanded = Table.ExpandTableColumn(Tabled, "Custom", {"D".."M"}),
          Typed2 = Table.TransformColumnTypes(Expanded,List.Transform({"D".."M"}, each {_, Int64.Type}))
      in
          Typed2