Forum Discussion

Anonymous's avatar
Anonymous
Not applicable
2 years ago
Solved

Building hierarchy with pre-agregated values

I have 3 dimentional tables in my power BI model: 
Continent
Continnet_pkContinent_name
11Europa
22Asia
 
Country
Country_PKCountry_name
101Germany
202Austria
 
City
City_PKCity_name
111Berlin
222Vienna
 
I also have fact table Rating

ForeignKeyScore
11100
22200
1011100
2022200
111111000
222222000
 
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:
NameScore
- Europa100
    - Germany101
        - Berlin    111000
    - Austria202
        - Vienna222000
Asia202

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
Need Help
  • Anonymous's avatar
    Anonymous
    2 years ago

    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

4 Replies

  • Anonymous's avatar
    Anonymous
    Not applicable
    2 years ago

    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's avatar
      Anonymous
      Not applicable
      2 years ago

       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's avatar
        Anonymous
        Not applicable
        2 years ago

        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's avatar
    lbendlin
    Icon for Super User rankSuper User
    2 years ago

    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.