Multivariate data exploration [beta]

Note: Support for 3D on mobile devices may vary, view the system requirements for more information.

This sample demonstrates how to create a data exploration app where the color and size of features are driven by two different numeric attributes. The user can use the ColorSlider and SizeSlider widgets to alter the color or size of the features to explore each associated variable.

These sliders are often used in conjunction with the renderer generator functions, which generate default renderers driven by layer data, typically from an attribute field. However, rather than use the generator functions, this app loads the layer's renderer from a preconfigured web map, and reads the renderer's authoringInfo to set up the sliders.

This application loads a single FeatureLayer rendered with WebGL. WebGL rendering allows the layer's renderer to update faster than it would if rendered with SVG.

Additional visualization samples and resources

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