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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
Super User

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
Blog
3 REPLIES 3
Super User

Hi @MarkusEng1998, different approach here.

You have to define column names to calc here:

Result

``````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}}),
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

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Super User

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
Blog
Resolver II

Thank you @OwenAuger for the elegant solution!

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