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MarkusEng1998
Resolver II
Resolver II

Conditional Column with variables

I want to compare the text strings in four columns. If the string is the same in all four columns, then the score is 6. If none of the strings match, then 0.

 

I can create six conditional columns for each of the pair combinations, and then add up the score.

I was hoping to do this in one step.

 

Something like this.

 

= Table.AddColumn(source, Score, each

    vAB = if [A] = [B] then 1 else 0,
    vAC = if [A] = [C] then 1 else 0,
    vAD = if [A] = [D] then 1 else 0,
    vBC = if [B] = [C] then 1 else 0,
    vBD = if [B] = [D] then 1 else 0,
    vCD = if [C] = [D] then 1 else 0,
   
   vScore = vAB + vAC + vAD + vBC + vBD + vCD
   )

 

I prefer to do this in Powerquery instead of DAX.

I am probably missing a simple syntax.

 

Thank you for any suggestions.

 

1 ACCEPTED SOLUTION
OwenAuger
Super User
Super User

HI @MarkusEng1998 

Whichever way you approach this, I think there will be a a few steps to the calculation.

However, to write it in a general way, I would do something like this:

 

= Table.AddColumn(
  Source,
  "Score",
  each let
    ValuesList = {[A],[B],[C],[D]}, // Could rewrite if you need it to be dynamic
    ValuesColumn = Table.FromList(ValuesList, each {_}),
    GroupedCount =
      Table.Group(ValuesColumn,{"Column1"},{"Count", Table.RowCount, Int64.Type})[Count],
    PairsCount =
      List.Sum(List.Transform(GroupedCount, each Number.Combinations(_,2)))
  in
    PairsCount,
  Int64.Type
)

 

There could be a smarter or less verbose approach - will give it some more thought 🙂

Regards


Owen Auger
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View solution in original post

3 REPLIES 3
dufoq3
Super User
Super User

Hi @MarkusEng1998, different approach here.

 

You have to define column names to calc here:

dufoq3_1-1713989388992.png

 

Result

dufoq3_0-1713989267241.png

 

let
    Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMlTSQcKxOggRIzCGiRjAMUjECMpDqDHAqsYYiE2B2ARujjFUF1AkFgA=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [A = _t, B = _t, C = _t, D = _t]),
    ColumnNamesToCalc = List.Buffer({"A", "B", "C", "D"}),
    ColumnCombinations = List.Buffer(List.Accumulate(
        List.Zip({ {0..List.Count(ColumnNamesToCalc)-1}, ColumnNamesToCalc }),
        {},
        (s,c)=> s & [ x = List.RemoveMatchingItems(List.Skip(ColumnNamesToCalc, c{0}+1), {c{1}}),
                      y = List.Repeat({c{1}}, List.Count(x)),
                      z = List.Zip({ y, x })
                    ][z]
      )),
    ChangedType = Table.TransformColumnTypes(Source,{{"A", Int64.Type}, {"B", Int64.Type}, {"C", Int64.Type}, {"D", Int64.Type}}),
    Ad_Result = Table.AddColumn(ChangedType, "Result", each 
        List.Sum(List.Transform(ColumnCombinations, (x)=> 
            [ a = Record.FieldOrDefault(_, x{0}, null),
              b = Record.FieldOrDefault(_, x{1}, null),
              c = if a = b then 1 else 0
            ][c] )), type number)
in
    Ad_Result

 


Note: Check this link to learn how to use my query.
Check this link if you don't know how to provide sample data.

OwenAuger
Super User
Super User

HI @MarkusEng1998 

Whichever way you approach this, I think there will be a a few steps to the calculation.

However, to write it in a general way, I would do something like this:

 

= Table.AddColumn(
  Source,
  "Score",
  each let
    ValuesList = {[A],[B],[C],[D]}, // Could rewrite if you need it to be dynamic
    ValuesColumn = Table.FromList(ValuesList, each {_}),
    GroupedCount =
      Table.Group(ValuesColumn,{"Column1"},{"Count", Table.RowCount, Int64.Type})[Count],
    PairsCount =
      List.Sum(List.Transform(GroupedCount, each Number.Combinations(_,2)))
  in
    PairsCount,
  Int64.Type
)

 

There could be a smarter or less verbose approach - will give it some more thought 🙂

Regards


Owen Auger
Did I answer your question? Mark my post as a solution!
Blog
Twitter
LinkedIn

Thank you @OwenAuger for the elegant solution!

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