Column group A, column group B - how to get Column group A+B?

  • Hello - I have a matrix which I have column grouped based on location - now I want to add a couple of columns to the right which will show sums for all locations. "Org" is the Location in the below snapshot. I have this working for each location, but now I want to add a couple of columns to the right which will use the same row grouping, but will aggregate for both locations. I cannot figure out how to do it!

    Here's my existing matrix:
    data:image/png;base64,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

    And my existing row and column groups:
    data:image/png;base64,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

    I feel like it's just a little beyond my reach...a little help, please? Thank you!

    Donna

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