Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

Get Fabric Certified for FREE during AI Skills Fest. This week only. Secure your voucher now.

Reply
abhishekrws01
Helper I
Helper I

Create a table through DAX formula by combining two tables unique record

Hello,

I have two tables, forecast & actual, where data is at the country & Product levels. I want to compare how I am doing against the forecast at an aggregate level and by country & product level. It is possible that for a few countries, I don't have a forecast but have actuals vv few countries have forecast but don't have actuals. I am trying to create a 3rd table where I can see all the countries, including ones that have no forecast, but actual vv have forecast but no actuals. The table looks like this.

 

Forecast table

Country       Product    Sales

Country 1    product 1 100

Country 2    product 2  200

Country 5     product1  100

 

Actual table

Country       Product    Sales

Country 1    product 1 120

Country 4    product 2  220

Country 3    product 1  200

 

Desired table

Country       Product    ForecastSales   Actual Sales

Country 1    product 1 100                       120

Country 2    product 2  200

Country 3    product 1                              200

Country 4    product 2                              220

Country 5     product1  100

 

Please help if possible

 

Thank you.

 

 

1 ACCEPTED SOLUTION
Jihwan_Kim
Super User
Super User

Hi,

Please check the below picture and the attached pbix file.

Jihwan_Kim_0-1679204565182.png

 

 

New Table = 
VAR _country =
    DISTINCT (
        UNION ( DISTINCT ( ForecastSales[Country] ), DISTINCT ( ActualSales[Country] ) )
    )
VAR _product =
    DISTINCT (
        UNION ( DISTINCT ( ForecastSales[Product] ), DISTINCT ( ActualSales[Product] ) )
    )
VAR _countryproduct =
    SELECTCOLUMNS (
        GENERATE ( _country, _product ),
        "@country", [Country],
        "@product", [Product]
    )
RETURN
    FILTER (
        ADDCOLUMNS (
            _countryproduct,
            "@ForecastSales",
                CALCULATE (
                    SUM ( ForecastSales[Sales] ),
                    FILTER (
                        ForecastSales,
                        ForecastSales[Country] = [@country]
                            && ForecastSales[Product] = [@product]
                    )
                ),
            "@ActualSales",
                CALCULATE (
                    SUM ( ActualSales[Sales] ),
                    FILTER (
                        ActualSales,
                        ActualSales[Country] = [@country]
                            && ActualSales[Product] = [@product]
                    )
                )
        ),
        [@ForecastSales] <> 0
            || [@ActualSales] <> 0
    )

 


If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.


Click here to visit my LinkedIn page

View solution in original post

4 REPLIES 4
Jihwan_Kim
Super User
Super User

Hi,

Please check the below picture and the attached pbix file.

Jihwan_Kim_0-1679204565182.png

 

 

New Table = 
VAR _country =
    DISTINCT (
        UNION ( DISTINCT ( ForecastSales[Country] ), DISTINCT ( ActualSales[Country] ) )
    )
VAR _product =
    DISTINCT (
        UNION ( DISTINCT ( ForecastSales[Product] ), DISTINCT ( ActualSales[Product] ) )
    )
VAR _countryproduct =
    SELECTCOLUMNS (
        GENERATE ( _country, _product ),
        "@country", [Country],
        "@product", [Product]
    )
RETURN
    FILTER (
        ADDCOLUMNS (
            _countryproduct,
            "@ForecastSales",
                CALCULATE (
                    SUM ( ForecastSales[Sales] ),
                    FILTER (
                        ForecastSales,
                        ForecastSales[Country] = [@country]
                            && ForecastSales[Product] = [@product]
                    )
                ),
            "@ActualSales",
                CALCULATE (
                    SUM ( ActualSales[Sales] ),
                    FILTER (
                        ActualSales,
                        ActualSales[Country] = [@country]
                            && ActualSales[Product] = [@product]
                    )
                )
        ),
        [@ForecastSales] <> 0
            || [@ActualSales] <> 0
    )

 


If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.


Click here to visit my LinkedIn page

Thank you very much for your help!

Anonymous
Not applicable

Hey my friend, 

You can use a table with

merge =

DISTINCT(UNION(
SELECTCOLUMNS(Table_a, "Coluna1", [Expressão1], "Coluna2", [Expressão2], ...),
SELECTCOLUMNS(Table_b, "Coluna1", [Expressão1], "Coluna2", [Expressão2], ...)
))


If you need all lines, just remove the distinct part.



If it solved your problem, give me a kudo!!! ❤️

 

Thank you. It gave me the idea to think a bit differently.

Helpful resources

Announcements
May Power BI Update Carousel

Power BI Monthly Update - May 2026

Check out the May 2026 Power BI update to learn about new features.

Fabric SQL PBI Data Days

Data Days 2026 coming soon!

Sign up to receive a private message when registration opens and key events begin.

New to Fabric survey Carousel

New to Fabric Survey

If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.

Power BI DataViz World Championships carousel

Power BI DataViz World Championships - June 2026

A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.