<aside> 💡 This page is about styling vector data (point, line or polygon layers). For styling raster layers like satellite imagery or Digital Elevation Models (DEMs), refer to Styling Raster Data .
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Once your data is uploaded to Felt (via Upload Anything ) there are many ways to customize it using the style editor.
The default style when you upload a data layer — a single color for all features.
A categorical visualization maps a distinct color for every unique value of your chosen data attribute. A common type of categorical visualization are election maps, where a color (red, blue, etc) is assigned to every ballot choice.
When making a categorical visualization, choose between Felt’s built-in color palettes or use the Advanced Visualization Options to pick your own colors of choice.
For numeric attributes. The color of each feature will be relative to the values in its data.
Learn more about the different ways to style your data by numeric fields in Data Classification Methods.
Available for point and line layers with numeric attributes. The size of a point or line will be proportional to the values in its data.
Learn more about the different ways to style your data by numeric fields in Data Classification Methods.
Available for point layers. Select a color palette and adjust the size and intensity styling properties to refine the visualization.