Fork of Multivariate Choropleth Experiments

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Fork of Multivariate Choropleth Experiments

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Last edited Jun 11, 2021

Created on Jun 11, 2021

Forked from 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 description

A 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.

MIT Licensed

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