![]() That count is then compared with each variable using Decode() Then the maximum count is determined with the Max() function. to meaningful variable names and placed in an array. Arcade expression that determines the predominant political In this sample we also pass an expression to the opacityInfo visual variable to indicate which counties are more lopsided in their support for a particular party. You can also optionally pass an arcade expression to a visual variable. This expression is passed to the valueExpression property of the UniqueValueRenderer. Arcade allows us to write a simple expression that evaluates to the predominant party. In this case, we don't know what the dominant party is for each feature because there isn't a field for it. If you wanted to shade each county with a different color depending on the dominant party in the county, you could do so by referencing an additional field indicating the dominant party. each feature contains a total count for registered republicans, democrats, and independents. In this case, we have a feature service whose features represent counties in the U.S. Read more details in the Arcade help topic. Arcade is useful for creating data-driven visualizations based on a value generated from an expression instead of a field value. ![]() This sample demonstrates how to create a predominance visualization with an arcade expression.
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