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Anonymous's avatar
Anonymous
Not applicable
3 years ago
Solved

How to create a custom column that counts repeat objects in two columns.

Hi, I have data such that many values can appear mapped to one another multiple times. In the below example, [email protected]  is mapped to click twice.

 

[email protected]click
[email protected]click
[email protected]view
[email protected]click

 

I would like to add a column to the dataset using powerquery that displays the number of click actions taken by a user. It would look something like this...

 

[email protected] 

click

2
[email protected]click1
[email protected]view1
[email protected]click2

 

Is there any way to do this?

  • Anonymous Try this:

    let
        Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WSs7Id0jPTczM0UvOz1XSUUrOyUzOVorViVbKyMwrcahMzMjPJyxVlplaDpbBYVwsAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [email = _t, #"type" = _t]),
        #"Changed Type" = Table.TransformColumnTypes(Source,{{"email", type text}, {"type", type text}}),
        #"Grouped Rows" = Table.Group(#"Changed Type", {"email", "type"}, {{"Count", each Table.RowCount(_), Int64.Type}, {"Table", each _, type table [email=nullable text, type=nullable text]}}),
        #"Removed Columns" = Table.RemoveColumns(#"Grouped Rows",{"email", "type"}),
        #"Expanded Table" = Table.ExpandTableColumn(#"Removed Columns", "Table", {"email", "type"}, {"Table.email", "Table.type"})
    in
        #"Expanded Table"

3 Replies

  • Greg_Deckler's avatar
    Greg_Deckler
    Icon for Community Champion rankCommunity Champion

    Anonymous Try this:

    let
        Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WSs7Id0jPTczM0UvOz1XSUUrOyUzOVorViVbKyMwrcahMzMjPJyxVlplaDpbBYVwsAA==", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [email = _t, #"type" = _t]),
        #"Changed Type" = Table.TransformColumnTypes(Source,{{"email", type text}, {"type", type text}}),
        #"Grouped Rows" = Table.Group(#"Changed Type", {"email", "type"}, {{"Count", each Table.RowCount(_), Int64.Type}, {"Table", each _, type table [email=nullable text, type=nullable text]}}),
        #"Removed Columns" = Table.RemoveColumns(#"Grouped Rows",{"email", "type"}),
        #"Expanded Table" = Table.ExpandTableColumn(#"Removed Columns", "Table", {"email", "type"}, {"Table.email", "Table.type"})
    in
        #"Expanded Table"
  • Anonymous's avatar
    Anonymous
    Not applicable

    Greg_Deckler is there a way to generalize the format to be applied to any table?

    • Greg_Deckler's avatar
      Greg_Deckler
      Icon for Community Champion rankCommunity Champion

      Anonymous It's applicable to any table. You add an aggregation (Group By) step that groups by the columns you need it to group by. You have 2 aggregations. One is a Count of rows and one is "all rows". You end up with a table of your grouping columns along with the 2 aggregations. You then remove any columns other than the aggregation columns. Then you expand the aggregation column containing the Table.