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| Order | Restaurant | Meal | Item | 
| 1 | A | Breakfast | Eggs | 
| 2 | A | Breakfast | Eggs | 
| 3 | A | Breakfast | Pancakes | 
| 4 | A | Dinner | Steak | 
| 5 | A | Dinner | Salad | 
| 6 | A | Dinner | Steak | 
| 7 | A | Lunch | Salad | 
| 8 | A | Lunch | Salmon | 
| 9 | B | Breakfast | Toast | 
| 10 | B | Breakfast | Toast | 
| 11 | B | Breakfast | Juice | 
| 12 | B | Lunch | Salad | 
| 13 | B | Lunch | Salad | 
I'm trying to find the most frequently ordered item on the menu for a specific meal for a restaurant(eg. For restaurant A, meal Breakfast, Eggs is the most frequently ordered item)
I've been trying to use a mix of different posts such as this one and the following:
Hey @BriefStop ,
here you will find a pbix that contains a solution (have a lookt at the page Restaurants, Meals, and Items): https://tommartens-my.sharepoint.com/:u:/g/personal/tom_minceddata_com/EYqyDRiNiQpMkiZWZI5V5ocB5Bx0S...
I created this DAX measure:
most Frequent Item = 
// IF( HASONEVALUE( 'Table (2)'[Restaurant] ) && HASONEVALUE('Table (2)'[Meal] )
//     ,
    var currentRestaurant = SELECTEDVALUE( 'Table (2)'[Restaurant] )
    var currentMeal = SELECTEDVALUE( 'Table (2)'[Meal] )
    var t = 
        SUMMARIZE(
            ALLSELECTED( 'Table (2)' )
            , 'Table (2)'[Restaurant]
            , 'Table (2)'[Meal]
            , 'Table (2)'[Item]
        )
    return
CONCATENATEX(
    TOPN(
        1
        , ADDCOLUMNS(
            FILTER(
                t
                , [Restaurant] = currentRestaurant && [Meal] = currentMeal
            )
            , "noOfItems"
                , var r = [Restaurant]
                var m = [Meal]
                return
                
                CALCULATE(
                    COUNT( 'Table (2)'[Item] )
                    , 'Table (2)'[Restaurant] = r
                    , 'Table (2)'[Meal] = m
                )
        )
        , [noOfItems]
        , DESC
        , [Meal]
        , ASC
    )
    , [Item]
    , ", "
    , [Item]
)
This allows to create this table visual:
Hopefully, this provides what you are looking for.
Regards,
Tom
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