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Fork of Multivariate Choropleth Experiments
This example visualizes multidimensional racial demographic data for New York census tracts, showing the relative populations of White, Black, and Asian residents. It uses a multivariate choropleth approach where each tract’s fill color results from blending three HCL color scales (one per race) via multiplicative alpha blending in `d3.scaleSqrt`, with data from the American Community Survey. The map renders as SVG using `d3.geoPath` and TopoJSON, supports zooming via `d3.zoom`, and includes an ordinal color legend. Hovering reveals exact population counts in a tooltip.
AI-generated descriptionA way to visualize multidimensional racial demographic data for census tracts. This uses a square root scale instead of a linear scale, and uses 3 colors that are all the same saturation and luminance (in the HCL color space).
Data from bl.ocks.org: New York Census Tracts by Mike Bostock.
Fetching of American Community Survey data inspired by Observable: Racial distribution in NC by Mark McClure.
The variables used are documented in the ACS API Reference.
Color legend from VizHub: Color and Size Legends.