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Fork of HIV/AIDS Choropleth Map

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.

AAnthony Bacilio Ruiz

Fork of HIV/AIDS Choropleth Map

AAnthony Bacilio Ruiz

Fork of HIV/AIDS Choropleth Map

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.

AAliaksandr

Fork of Fork of HIV/AIDS Choropleth Map

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.

Aandychai07

Fork of HIV/AIDS Choropleth Map

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.

KKevin Andrade

Fork of Missing Migrants on a Map

This visualization displays the share of the population infected with HIV/AIDS by country for 2017, using a sequential yellow-orange-red color scale to encode prevalence. The map is rendered with React and D3 v5, using d3.geoNaturalEarth1 and d3.geoPath to project country boundaries from World Atlas TopoJSON, while graticules and interior borders are drawn via d3.geoGraticule and topojson.mesh. Countries without matching data are filled gray, and the underlying HIV prevalence dataset comes from IHME.

Jjchen6912

Fork of Fork of HIV/AIDS Choropleth Map 2

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.

KKevin Andrade

Fork of Missing Migrants on a Map

This map visualizes the share of the population aged 15–49 infected with HIV/AIDS in 2017, using a yellow-to-red sequential color scale on a natural Earth projection. It loads world country boundaries as TopoJSON, HIV prevalence data from an IHME CSV, and ISO country codes, then joins them by numeric code via React state. The visualization renders SVG paths with d3.geoPath and d3.geoNaturalEarth1, coloring each country based on the maximum prevalence value.

NNikita Toropov