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Pie chart with Count of X as the legend



I have a map visual that shows the count of a column ("Goal") by Utility. I have a filter for Goal so that only one Goal is counted. For example (using sample data below), if I've selected Minimum in my Goal filter, the count will be A = 3, B = 3, C = 2. I also have filters for Capability, so if I filter to Cyber and Metering, the Minimum counts will be A = 1, B = 1, C = 2. 


I want to make a Pie Chart that summarizes the share of utilities with each count based on my Goal and Capability selections. In my first example the pie chart would show that 66% have a count of 3 and 33% have a count of 2. In the second example it would show that 66% have a count of 1 and 33% have a count of 2. The problem I'm running into is I'm not able to use Count of Goal as the legend variable for the pie chart. Using Count of Goal as the legend and Count of Utility as the values would achieve what I'm going for.


I tried make a summary table based on my initial table that calculates count of goal and used count of goal from the summary table as the legend variable. Then the pie chart works fine if no capabilities are filtered out, but it doesn't change depending on the capabilities filtered. 


Goal Summary = SUMMARIZE('Utility Goals', ''Utility Goals'[Utility], ''Utility Goals'[Goal], "Count of Goal", COUNTROWS(''Utility Goals'))
Community Support
Community Support

Hi @ben_E_556 ,

Please have a try.

Create a measure.

Legend = 
VAR _selectedLevel = SELECTEDVALUE ( Legend[Level] )
    SWITCH (
        1, SELECTEDVALUE ( Fact[Region] ),
        2, SELECTEDVALUE ( Fact[State] ),
        3, SELECTEDVALUE ( Fact[County] )


How to Get Your Question Answered Quickly 


If it does not help, please provide more details with your desired output and pbix file without privacy information (or some sample data) .


Best Regards
Community Support Team _ Rongtie

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.




Hello. This doesn't make sense in the context of the sample data I provided. I don't understand how this would be applied to my scenario and data.

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