Fork of Fork of HIV/AIDS Choropleth Map

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Fork of Fork of HIV/AIDS Choropleth Map

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Last edited May 30, 2022

Created on May 30, 2022

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This choropleth map visualizes the global prevalence of HIV/AIDS among adults aged 15-49 in 2017, with countries shaded from light yellow to dark red based on infection rates. The visualization uses React to render SVG paths, with d3.geoNaturalEarth1 for map projection, d3.geoPath for drawing country boundaries and graticules, and d3.scaleSequential with an interpolateYlOrRd color scale. Country codes are matched against World Atlas TopoJSON features, and missing data appears in gray. Data comes from the IHME HIV prevalence dataset.

AI-generated description

A world map showing cities with population greater than 50,000. City data from Simplemaps: World Cities Database.

Country boundaries from World Atlas TopoJSON, polished for visual style, including graticules.

MIT Licensed

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This choropleth map shows the global prevalence of HIV/AIDS among adults aged 15-49 in 2017, with countries colored on a yellow-to-red sequential scale based on infection rates. Gray indicates missing data. The visualization uses React to render SVG paths via d3.geoPath with a geoNaturalEarth1 projection, drawing country boundaries, graticules, and interiors from World Atlas TopoJSON. HIV prevalence data comes from IHME, merged with ISO country codes, with color mapping handled by d3.scaleSequential and interpolateYlOrRd.

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This choropleth map displays the global prevalence of HIV/AIDS among adults aged 15-49 in 2017, using a yellow-orange-red sequential color scale to indicate the percentage of the population infected. Countries lacking data appear in gray. The visualization leverages D3's `geoNaturalEarth1` projection, `geoPath`, and `geoGraticule` for rendering, with country boundaries sourced from the world-atlas TopoJSON. React manages the interface, while the data originates from an IHME CSV file, mapping each country via its numeric code.

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This choropleth map visualizes the global prevalence of HIV/AIDS among adults aged 15-49 in 2017, using a yellow-orange-red sequential color scale applied to country boundaries. Countries with missing data appear in gray. The visualization is rendered as SVG using React, with D3’s `geoNaturalEarth1` projection, `geoPath`, and `geoGraticule` for map geometry. Data comes from the IHME CSV dataset, mapped to country codes via the ISO-3166 slim CSV, with country shapes from the world-atlas TopoJSON.

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This choropleth map visualizes the global prevalence of HIV/AIDS among adults aged 15-49 in 2017, using a yellow-orange-red sequential color scale to indicate infection rates. Country shading is drawn from CSV data, while country boundaries and graticules are rendered as SVG paths using d3.geoPath and the natural Earth projection. The visualization uses d3.scaleSequential with interpolateYlOrRd for color mapping, and countries without data appear gray. The React-based application loads world atlas TopoJSON data and ISO country codes to link each nation to its corresponding metric.

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This choropleth map visualizes HIV/AIDS prevalence among adults aged 15–49 in 2017, with countries colored on a yellow-to-red sequential scale based on infection rates. It uses D3’s `geoNaturalEarth1` projection, `geoPath`, and `geoGraticule` to render world boundaries and graticules. The React-powered application merges HIV data from IHME with ISO country codes, mapping each nation by numeric code. Countries without matching HIV data appear gray. The visualization is built with D3 v5, React, and TopoJSON, sourcing country shapes from World Atlas TopoJSON.

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