Forum Discussion

kdecolve's avatar
kdecolve
Regular Visitor
6 years ago
Solved

Power Query: How to add a calculated row?

Hello fellow PowerBI people

I would like to add a calculated row in my dataset. I've no idea how to initiate this.

Database contains + 100 000 rows. There's a different row for each quarter. And I would like to add a new line that gives me the best result over the 4 quarters.

I know I can group this column and add a calculated column, but that is no solution for me as I'll have trouble afterwards filtering correctly.

Example (I would like to add the red line):

YearExtra info AExtra info BQuarterAmount
2019AbcZyx180
2019AbcZyx2null
2019AbcZyx350
2019AbcZyx460
2019AbcZyxBest result80


Thanks in advance for your help!

I think this function can help me: https://docs.microsoft.com/en-us/powerquery-m/table-insertrows

Best regards

Koen

  • Hi kdecolve ,

     

    We can use the following steps to meet your requirement:

     

    1. group by the table based on the year column, save other as all rows

     

     

    2. Create a custom column:

     

    Table.InsertRows(
        [QuarterData],
        Table.RowCount([QuarterData]),
        {
            Record.AddField(Record.RemoveFields(Table.Max([QuarterData],"Amount"),"Quarter"),"Quarter","BestResult")
        }
    )

     

     

    3. expand the custom column exclude the year column

     

     

    2. delete the useless column and rename other column:

     

     

    All the queries are here: 

    let
        Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjIwtFTSUXJMSgaSUZUVQNIQiC0MlGJ1sMoaATEuOWMgNsWp0wSIzeCyFlhsNcYpC7LV2BSXrDGSm9DlTKBuigUA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Year = _t, #"Extra info A" = _t, #"Extra info B" = _t, Quarter = _t, Amount = _t]),
        #"Changed Type" = Table.TransformColumnTypes(Source,{{"Year", Int64.Type}, {"Extra info A", type text}, {"Extra info B", type text}, {"Quarter", Int64.Type}, {"Amount", Int64.Type}}),
        #"Grouped Rows" = Table.Group(#"Changed Type", {"Year"}, {{"QuarterData", each _, type table [Year=number, Extra info A=text, Extra info B=text, Quarter=number, Amount=number]}}),
        #"Added Custom" = Table.AddColumn(#"Grouped Rows", "Custom", each Table.InsertRows(
        [QuarterData],
        Table.RowCount([QuarterData]),
        {
            Record.AddField(Record.RemoveFields(Table.Max([QuarterData],"Amount"),"Quarter"),"Quarter","BestResult")
        }
    )),
        #"Expanded Custom" = Table.ExpandTableColumn(#"Added Custom", "Custom", {"Extra info A", "Extra info B", "Quarter", "Amount"}, {"Custom.Extra info A", "Custom.Extra info B", "Custom.Quarter", "Custom.Amount"}),
        #"Removed Columns" = Table.RemoveColumns(#"Expanded Custom",{"QuarterData"}),
        #"Renamed Columns" = Table.RenameColumns(#"Removed Columns",{{"Custom.Extra info A", "Extra info A"}, {"Custom.Extra info B", "Extra info B"}, {"Custom.Quarter", "Quarter"}, {"Custom.Amount", "Amount"}})
    in
        #"Renamed Columns"

     


    Best regards,

     

2 Replies

  • JirkaZ's avatar
    JirkaZ
    Solution Specialist

    PowerQuery is a wrong place to do that. You should use measures for that. 

  • v-lid-msft's avatar
    v-lid-msft
    Community Support

    Hi kdecolve ,

     

    We can use the following steps to meet your requirement:

     

    1. group by the table based on the year column, save other as all rows

     

     

    2. Create a custom column:

     

    Table.InsertRows(
        [QuarterData],
        Table.RowCount([QuarterData]),
        {
            Record.AddField(Record.RemoveFields(Table.Max([QuarterData],"Amount"),"Quarter"),"Quarter","BestResult")
        }
    )

     

     

    3. expand the custom column exclude the year column

     

     

    2. delete the useless column and rename other column:

     

     

    All the queries are here: 

    let
        Source = Table.FromRows(Json.Document(Binary.Decompress(Binary.FromText("i45WMjIwtFTSUXJMSgaSUZUVQNIQiC0MlGJ1sMoaATEuOWMgNsWp0wSIzeCyFlhsNcYpC7LV2BSXrDGSm9DlTKBuigUA", BinaryEncoding.Base64), Compression.Deflate)), let _t = ((type text) meta [Serialized.Text = true]) in type table [Year = _t, #"Extra info A" = _t, #"Extra info B" = _t, Quarter = _t, Amount = _t]),
        #"Changed Type" = Table.TransformColumnTypes(Source,{{"Year", Int64.Type}, {"Extra info A", type text}, {"Extra info B", type text}, {"Quarter", Int64.Type}, {"Amount", Int64.Type}}),
        #"Grouped Rows" = Table.Group(#"Changed Type", {"Year"}, {{"QuarterData", each _, type table [Year=number, Extra info A=text, Extra info B=text, Quarter=number, Amount=number]}}),
        #"Added Custom" = Table.AddColumn(#"Grouped Rows", "Custom", each Table.InsertRows(
        [QuarterData],
        Table.RowCount([QuarterData]),
        {
            Record.AddField(Record.RemoveFields(Table.Max([QuarterData],"Amount"),"Quarter"),"Quarter","BestResult")
        }
    )),
        #"Expanded Custom" = Table.ExpandTableColumn(#"Added Custom", "Custom", {"Extra info A", "Extra info B", "Quarter", "Amount"}, {"Custom.Extra info A", "Custom.Extra info B", "Custom.Quarter", "Custom.Amount"}),
        #"Removed Columns" = Table.RemoveColumns(#"Expanded Custom",{"QuarterData"}),
        #"Renamed Columns" = Table.RenameColumns(#"Removed Columns",{{"Custom.Extra info A", "Extra info A"}, {"Custom.Extra info B", "Extra info B"}, {"Custom.Quarter", "Quarter"}, {"Custom.Amount", "Amount"}})
    in
        #"Renamed Columns"

     


    Best regards,