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Hello everyone.
I have a table that shows a list of video games, along with different sales columns depending on the region.
where:
Ventas NA = NorthAmerica
VentasEU = Europe
VentasJP = Japan
Sales Other = Other places
It turns out I want to split each row in the table this way
For example the video game 1942, which has sales in NA, EU and JP, is separated into 3, where it shows the region where it was sold and how much I sell in that place.
I attach an example of what I'm looking for
Thank you for your time.
Solved! Go to Solution.
@Syndicate_Admin @marfernandezj
You can acheive this by using the unpivot columns option in Power Query. From your first screenshot, click Home > Transform Data
Then find the correct table in Power Query that you want to transform.
Select the Ventas NA column, hold the Shift key on your keyboard, then Select the Ventas Global column.
In the Transform tab in the ribbon, click Unpivot columns.
That should give you what you're looking for. Then click Close & Apply.
Let us know if any other questions.
Thanks!
Copying DAX from this post? Click here for a hack to quickly replace it with your own table names
Has this post solved your problem? Please Accept as Solution so that others can find it quickly and to let the community know your problem has been solved.
If you found this post helpful, please give Kudos C
I work as a Microsoft trainer and consultant, specialising in Power BI and Power Query.
www.excelwithallison.com
Thank you very much, I served
@Syndicate_Admin @marfernandezj
You can acheive this by using the unpivot columns option in Power Query. From your first screenshot, click Home > Transform Data
Then find the correct table in Power Query that you want to transform.
Select the Ventas NA column, hold the Shift key on your keyboard, then Select the Ventas Global column.
In the Transform tab in the ribbon, click Unpivot columns.
That should give you what you're looking for. Then click Close & Apply.
Let us know if any other questions.
Thanks!
Copying DAX from this post? Click here for a hack to quickly replace it with your own table names
Has this post solved your problem? Please Accept as Solution so that others can find it quickly and to let the community know your problem has been solved.
If you found this post helpful, please give Kudos C
I work as a Microsoft trainer and consultant, specialising in Power BI and Power Query.
www.excelwithallison.com
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