Add custom Row based on Dax logic

Hi Puja 

To accomplish this in DAX, you need to create a calculated table or use measures to dynamically calculate the new row based on the provided logic.

Solution Using a Calculated Table

EnhancedTable = 
UNION(
    'OriginalTable', -- Keep all original rows
    ADDCOLUMNS(
        SUMMARIZE(
            FILTER('OriginalTable', 'OriginalTable'[Type] IN {"Wages - Temp Staff", "Payroll Tax Temp"}),
            'OriginalTable'[ID]
        ),
        "Type", "Asset Purchases",
        "Value", 
            (CALCULATE(SUM('OriginalTable'[Value]), 'OriginalTable'[Type] = "Wages - Temp Staff") + 
            CALCULATE(SUM('OriginalTable'[Value]), 'OriginalTable'[Type] = "Payroll Tax Temp")) * -1
    )
)

Solution Using a Measure (If no new rows are required)

If you want to dynamically calculate the value for "Asset Purchases" in visuals (like a table), use a measure:

Asset Purchases = 
VAR TempStaffValue = 
    CALCULATE(SUM('OriginalTable'[Value]), 'OriginalTable'[Type] = "Wages - Temp Staff")
VAR PayrollTaxValue = 
    CALCULATE(SUM('OriginalTable'[Value]), 'OriginalTable'[Type] = "Payroll Tax Temp")
RETURN
(TempStaffValue + PayrollTaxValue) * -1

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Kind Regards,
Poojara
Data Analyst | MSBI Developer | Power BI Consultant
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Hi Puja ,

Are you trying to create bookkeeping journal entries with debits and credits that balance to zero? If so, I recommend using Power Query to generate double-entry bookkeeping records. DAX is not ideal for this task, but Power Query excels at creating structured double-entry bookkeeping entries. I use it for this purpose regularly.

Here’s how you can do it:

Process in Power Query:

1. Start with your transaction data table.
2. Create a custom column named "Asset Purchases" that calculates the value based on your formula:

("Wages - Temp Staff" + "Payroll Tax Temp") * -1

1. Unpivot the columns so that you have the debits and credits structured in rows.

Below is the Power Query M code for this process:

let
    // Load your transaction data
    Source = Table.FromRows(
        {
            {"ID001", "Wages - Temp Staff", 1000},
            {"ID001", "Payroll Tax Temp", 200},
            {"ID002", "Wages - Temp Staff", 1500},
            {"ID002", "Payroll Tax Temp", 300}
        },
        {"ID", "Type", "Value"}
    ),
    
    // Group the data by ID
    GroupedData = Table.Group(
        Source, 
        {"ID"}, 
        {
            {"AllData", each _, type table [ID=nullable text, Type=nullable text, Value=nullable number]}
        }
    ),

    // Add a custom row for "Asset Purchases" based on the logic
    AddAssetPurchases = Table.TransformColumns(
        GroupedData, 
        {"AllData", each Table.Combine({
            _,
            Table.FromRows(
                {{[ID = List.First(_[ID]), Type = "Asset Purchases", Value = ([Value]{0} + [Value]{1}) * -1]}},
                Table.Type(_)
            )
        })}
    ),

    // Expand the grouped data back to a flat table
    ExpandedData = Table.ExpandTableColumn(AddAssetPurchases, "AllData", {"ID", "Type", "Value"}),

    // Unpivot if required (for debit/credit separation)
    UnpivotedData = Table.UnpivotOtherColumns(ExpandedData, {"ID", "Type"}, "Attribute", "Value")
    
in
    UnpivotedData

This method ensures your bookkeeping entries balance to zero by automatically generating the corresponding "Asset Purchases" entry and formatting the data appropriately. Let me know if you need further assistance!

Best regards,

Thanks for the reply from Poojara_D12  and DataNinja777, please allow me to provide another insight:

Hi, Puja 
Could you please let me know if the responses from Poojara_D12  and DataNinja777 have resolved your issue?

If it did, kindly accept it as the solution.

Below is my M language solution to your problem:

let
    // Load your transaction data
    Source = Table.FromRows(
        {
            {"ID001", "Wages - Temp Staff", 1000},
            {"ID001", "Payroll Tax Temp", 200},
            {"ID002", "Wages - Temp Staff", 1500},
            {"ID002", "Payroll Tax Temp", 300}
        },
        {"ID", "Type", "Value"}
    ),
    #"Changed Type" = Table.TransformColumnTypes(Source,{{"ID", type text}, {"Type", type text}, {"Value", Int64.Type}}),
    #"Grouped Rows" = Table.Group(#"Changed Type", {"ID"}, {{"Value", each List.Sum([Value])*-1, type nullable number}}),
    #"Added Custom" = Table.AddColumn(#"Grouped Rows", "Type", each "Asset Purchases"),
    #"Changed Type1" = Table.TransformColumnTypes(#"Added Custom",{{"Type", type text}}),
    #"Appended Query" = Table.Combine({#"Changed Type1", #"Changed Type"}),
    #"Sorted Rows" = Table.Sort(#"Appended Query",{{"ID", Order.Ascending}})
in
    #"Sorted Rows"

Here is my sample data:

The final result is as follows:

Of course, Poojara_D12 's UNION() function is also a good solution. To facilitate your understanding, I have also created the following example.

Here's my final result, which I hope meets your requirements.

For further details, please refer to:

UNION function (DAX) - DAX | Microsoft Learn

SUMMARIZE function (DAX) - DAX | Microsoft Learn

Please find the attached pbix relevant to the case.

Best Regards,

Leroy Lu

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.