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Last edited May 6, 2024

Created on May 6, 2024

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This example visualizes a choropleth world map where each country’s fill color reflects its birth rate, using a linear blue scale. It also plots four city locations (Fairbanks, Boston, Philly, COS) as small circles, positioned via a Mercator projection with `d3.geoPath`. The map is built with D3 v4, loading GeoJSON country boundaries and CSV data via `d3.json` and `d3.csv`. The code uses `d3.geoMercator`, `d3.scaleLinear`, and `d3.extent` to drive the color mapping and projection.

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D3 world map example with TopoJSON to GeoJSON and circular indicators

TopoJSON source: https://github.com/Kyrand/dataviz-with-python-and-js-ed-2/blob/master/Part_5_Visualizing_your_Data_with_Plotly_and_D3/Ch.15-21_Nobel_Dataviz_with_D3/static/data/world-110m.json

Visit https://github.com/ax-va/Interactive-Data-Visualization-Dale-2023