Power BI Dynamic Legend

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眼角桃花
眼角桃花 2021-02-02 15:08

I\'m working with a geographical hierarchy. I\'d like for the Legend on my line or ribbon chart to show the next lowest relevant level of detail based upon a slicer selection.

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  • 2021-02-02 15:50

    Let's say I have some population data on the largest 20 US counties as follows:

    Data = DATATABLE(
           "Rank", INTEGER, "Region", STRING, "County", STRING, "State", STRING,
           "2010", INTEGER, "2012", INTEGER, "2014", INTEGER,
           {{1,"West","Los Angeles","California",9818605,9826773,9826773},
            {2,"Midwest","Cook","Illinois",5194675,5199971,5199971},
            {3,"South","Harris","Texas",4092459,4109362,4109362},
            {4,"South","Maricopa","Arizona",3817117,3824834,3824834},
            {5,"West","San Diego","California",3095313,3105115,3105115},
            {6,"West","Orange","California",3010232,3017598,3017598},
            {7,"South","Miami-Dade","Florida",2496435,2503034,2503034},
            {8,"Northeast","Kings","New York",2504700,2508515,2508515},
            {9,"South","Dallas","Texas",2368139,2375207,2375207},
            {10,"Northeast","Queens","New York",2230722,2233895,2233895},
            {11,"West","Riverside","California",2189641,2202978,2202978},
            {12,"West","San Bernardino","California",2035210,2042027,2042027},
            {13,"West","King","Washington",1931249,1937157,1937157},
            {14,"West","Clark","Nevada",1951269,1953927,1953927},
            {15,"South","Tarrant","Texas",1809034,1816850,1816850},
            {16,"West","Santa Clara","California",1781642,1786267,1786267},
            {17,"South","Broward","Florida",1748066,1752122,1752122},
            {18,"South","Bexar","Texas",1714773,1723561,1723561},
            {19,"Midwest","Wayne","Michigan",1820584,1815246,1815246},
            {20,"Northeast","New York","New York",1585873,1587481,1587481}
           })
    

    Using this data as a source in the query editor, we will produce two tables. The first will be a Fact table that unpivots the years and looks like this for the top three counties:

    The second will be a Bridge table that's just a list of unique Region, State, County combinations:

    We'll create one final table using DAX. This will be our Legend table.

    Legend = UNION(SUMMARIZECOLUMNS(Fact[Region], Fact[Rank], "Level", 1),
                 SUMMARIZECOLUMNS(Fact[State], Fact[Rank],  "Level", 2),
                 SUMMARIZECOLUMNS(Fact[County], Fact[Rank],  "Level", 3)
                 )
    

    Make sure the relationships are set on the Rank columns so that your relationship diagram looks like this:

    Now we'll write a measure that takes advantage of these levels that we just created in the Legend table.

    Measure = 
        VAR StateCount = CALCULATE(DISTINCTCOUNT(Bridge[State]),
                             ALLSELECTED(Bridge), ALLSELECTED(Legend))
        VAR RegionCount = CALCULATE(DISTINCTCOUNT(Bridge[Region]),
                              ALLSELECTED(Bridge), ALLSELECTED(Legend))
        VAR LevelNumber = SWITCH(TRUE(), StateCount = 1, 3, RegionCount = 1, 2, 1)
        RETURN CALCULATE(SUM(Fact[Population]), Legend[Level] = LevelNumber)
    

    Basically, we only want to show the population for the appropriate level.

    Using this measure on a line chart with Legend[Region] in the legend box and Fact[Year] on the axis, the result looks like this when slicers are left blank:

    When we select a region and then a state, we get the following:


    Here's a link to the PBIX file I created for this: Variable Legend.pbix

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