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Anonymous's avatar
Anonymous
Not applicable
5 years ago
Solved

Create a new column from another table field values

Hello everyone, 

I have a question to create a new table as below.

 

I already have 'Table A' in my Power BI and want to get those boolean columns as value in Boolean Type in the new table, and get another column to count the number of true values.

 

Can anyone help me what DAX I need to use to get this new table in Power BI? 

  • Hi Anonymous ,

     

    The calculation logic that amitchandak given is right. But some details of the formulas need to correct. Please try this:

     

    DAX:

    new table = 
    UNION(
    SUMMARIZE('Table', "Boolean Type" , "Boolean A","No of report", COUNTX(FILTER('Table', 'Table'[Boolean A] = "TRUE"), 'Table'[Boolean A])),
    SUMMARIZE('Table', "Boolean Type" , "Boolean B","No of report", COUNTX(FILTER('Table', 'Table'[Boolean B] = "TRUE"),'Table'[Boolean B])),
    SUMMARIZE('Table', "Boolean Type" , "Boolean C","No of report", COUNTX(FILTER('Table', 'Table'[Boolean C] = "TRUE"), 'Table'[Boolean C])),
    SUMMARIZE('Table', "Boolean Type" , "Boolean D","No of report", COUNTX(FILTER('Table', 'Table'[Boolean D] = "TRUE"), 'Table'[Boolean D]))) 

     

    M:

    let
        Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WilDSUQoJCnXFTsXqRCtFAjlujj7BrjhpkKoohE50RRCTYgE=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Report = _t, #"Boolean A" = _t, #"Boolean B" = _t, #"Boolean C" = _t, #"Boolean D" = _t]),
        #"Changed Type" = Table.TransformColumnTypes(Source,{{"Report", type text}, {"Boolean A", type logical}, {"Boolean B", type logical}, {"Boolean C", type logical}, {"Boolean D", type logical}}),
        #"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Report"}, "Attribute", "Value"),
        #"Grouped Rows" = Table.Group(#"Unpivoted Columns", {"Attribute", "Value"}, {{"Count", each Table.RowCount(_), Int64.Type}}),
        #"Filtered Rows" = Table.SelectRows(#"Grouped Rows", each ([Value] = true)),
        #"Removed Columns" = Table.RemoveColumns(#"Filtered Rows",{"Value"})
    in
        #"Removed Columns"

     

     

3 Replies

  • Anonymous , Better to unpivot in Power Query, and then Aggregate there.

    https://radacad.com/pivot-and-unpivot-with-power-bi
    Transpose : https://yodalearning.com/tutorials/power-query-helps-transposing-data/

    https://radacad.com/power-bi-aggregation-step-1-create-the-aggregated-table

     

    In dax would summarize and union

     

    new table =union(
    summarize(Table, "Boolean Type" , "No of report", countx(filter(Table, Table[Boolean A] = "True") Table[Boolean A])),
    summarize(Table, "Boolean Type" , "No of report", countx(filter(Table, Table[Boolean b] = "True") Table[Boolean B])),
    summarize(Table, "Boolean Type" , "No of report", countx(filter(Table, Table[Boolean C] = "True") Table[Boolean C])),
    summarize(Table, "Boolean Type" , "No of report", countx(filter(Table, Table[Boolean D] = "True") Table[Boolean D]))) 

     

    Change as per need

  • v-xuding-msft's avatar
    v-xuding-msft
    Icon for Community Support rankCommunity Support

    Hi Anonymous ,

     

    The calculation logic that amitchandak given is right. But some details of the formulas need to correct. Please try this:

     

    DAX:

    new table = 
    UNION(
    SUMMARIZE('Table', "Boolean Type" , "Boolean A","No of report", COUNTX(FILTER('Table', 'Table'[Boolean A] = "TRUE"), 'Table'[Boolean A])),
    SUMMARIZE('Table', "Boolean Type" , "Boolean B","No of report", COUNTX(FILTER('Table', 'Table'[Boolean B] = "TRUE"),'Table'[Boolean B])),
    SUMMARIZE('Table', "Boolean Type" , "Boolean C","No of report", COUNTX(FILTER('Table', 'Table'[Boolean C] = "TRUE"), 'Table'[Boolean C])),
    SUMMARIZE('Table', "Boolean Type" , "Boolean D","No of report", COUNTX(FILTER('Table', 'Table'[Boolean D] = "TRUE"), 'Table'[Boolean D]))) 

     

    M:

    let
        Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WilDSUQoJCnXFTsXqRCtFAjlujj7BrjhpkKoohE50RRCTYgE=", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type nullable text) meta [Serialized.Text = true]) in type table [Report = _t, #"Boolean A" = _t, #"Boolean B" = _t, #"Boolean C" = _t, #"Boolean D" = _t]),
        #"Changed Type" = Table.TransformColumnTypes(Source,{{"Report", type text}, {"Boolean A", type logical}, {"Boolean B", type logical}, {"Boolean C", type logical}, {"Boolean D", type logical}}),
        #"Unpivoted Columns" = Table.UnpivotOtherColumns(#"Changed Type", {"Report"}, "Attribute", "Value"),
        #"Grouped Rows" = Table.Group(#"Unpivoted Columns", {"Attribute", "Value"}, {{"Count", each Table.RowCount(_), Int64.Type}}),
        #"Filtered Rows" = Table.SelectRows(#"Grouped Rows", each ([Value] = true)),
        #"Removed Columns" = Table.RemoveColumns(#"Filtered Rows",{"Value"})
    in
        #"Removed Columns"

     

     

    • Anonymous's avatar
      Anonymous
      Not applicable

      thanks a lot!  this helps me understand much better!