Votes for a third party candidate in the 2016 U.S. presidential election.
Data visualization can be difficult and time consuming. Sometimes a style looks good at one scale, but is unsuccessful at other scales. You may find yourself asking questions like: which colors should I use? How should I classify my data? How can I best communicate my message to the audience?
In cartography, there often isn't a straightforward answer. The decision you make for one map may not be suitable for another. The topics below provide an overview to some guidelines that will help you make a successful map.
Get started Arcade-driven visualizationsLearn how to create visualizations based on values returned from Arcade expressions.
Scale-aware visualizationsLearn how account for view scale when creating a renderer for a layer.
Choosing a color rampLearn how to select a color ramp most appropriate for your map.
Class breaks vs. continuous colorLearn when you should use a continuous color ramp versus a class breaks visualization when visualizing numeric data with color.
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