Building hierarchy with pre-agregated values

[Anonymous]

I have 3 dimentional tables in my power BI model: 

Continent

Continnet_pk	Continent_name
11	Europa
22	Asia

Country

Country_PK	Country_name
101	Germany
202	Austria

City

City_PK	City_name
111	Berlin
222	Vienna

I also have fact table Rating

ForeignKey	Score
11	100
22	200
101	1100
202	2200
111	111000
222	222000

ForeignKey will join with each of the DIM table on one value (so, basically relationship is 1:1 with each DIM)

The values in Rating table are already calculated and shouldn't be agregated in the report on any way. 

Now I need to create matrix visual that will show hierarchy Continent>Country>City and apply to each respective value its rating.

Result:

Name	Score
- Europa	100
- Germany	101
- Berlin	111000
- Austria	202
- Vienna	222000
Asia	202

I have tried different ways with SWITCH and adding level of hierarchy to manipulate with it, but so far I am not even close to the resolution. 
Would appreciate any support!
Many thanks in advance

[Anonymous · Accepted solution]

Hi @Anonymous ,

I created a sample pbix file(see the attachment), please check if that is what you want.

1. Create a dimension to explain the hierarchies among continent, country and city

2. Create a measure as below to get the score

Measure = 
VAR _selcont =
    SELECTEDVALUE ( 'Table'[Continnet_pk] )
VAR _selcountry =
    SELECTEDVALUE ( 'Table'[Country_PK] )
VAR _selcity =
    SELECTEDVALUE ( 'Table'[City_PK] )
RETURN
    CALCULATE (
        SUM ( 'Rating'[Score] ),
        FILTER (
            'Rating',
            'Rating'[ForeignKey]
                = IF (
                    ISINSCOPE ( 'Continent'[Continent_name] )
                        && NOT ( ISINSCOPE ( 'Country'[Country_name] ) )
                            && NOT ( ISINSCOPE ( 'City'[City_name] ) ),
                    _selcont,
                    IF (
                        ISINSCOPE ( 'Continent'[Continent_name] )
                            && ISINSCOPE ( 'Country'[Country_name] )
                            && NOT ( ISINSCOPE ( 'City'[City_name] ) ),
                        _selcountry,
                        _selcity
                    )
                )
        )
    )

Best Regards

[Anonymous]

 Hi v-yiruan-msft ,
Thanks for the solution! It does the job. 
The only issue I have found (after testing this unfortunately), that the same city can be in both countries through different continents as well. Is it still possible to fit it into this measure?  

[Anonymous]

Hi @Anonymous ,

Thanks for your feedback. Do you mean that one city can be belong to multiple continents? If yes, then you can add these info in the dimension table. For example: city aa, it has two continents: a1 and a2. And its country is a.  Then you can add the data in the dimension table as below:

Best Regards

[lbendlin]

Refactor your data model.  Your Country table is a sub-dimension of the Continent table so it should contain the foreign key  (and the score if you want).

Worst case you can denormalize the whole thing into a City - Country - Continent table.  The cardinality is still small enough for that to work.