Fork of HIV/AIDS Choropleth Map

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 HIV/AIDS Choropleth Map

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.

GGuilinabaoge

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 visualizes HIV/AIDS prevalence among adults aged 15–49 in 2017, using a yellow-to-red sequential color scale to show infection rates. Country boundaries come from World Atlas TopoJSON, while disease data is sourced from an IHME CSV dataset. Built with React and D3 v5, the visualization uses `geoNaturalEarth1` and `geoPath` for map projection and rendering, with `scaleSequential` and `interpolateYlOrRd` for color encoding. Countries missing data appear gray, and the map includes graticules and interior borders for spatial context.

RRoberto

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 share of the population infected with HIV/AIDS for the year 2017, using a yellow-orange-red sequential color scale to represent prevalence rates. Countries lacking data are rendered in gray. The visualization is built with React and D3 v5, using `d3.geoNaturalEarth1` and `d3.geoPath` to project and draw country boundaries from the World Atlas TopoJSON, complemented by graticules and sphere paths. Data is sourced from a CSV file detailing HIV prevalence by country.

NNIKHIL MOHAN

Fork of HIV/AIDS Choropleth Map

This choropleth map visualizes the share of the population infected with HIV/AIDS for the year 2017, using a yellow-orange-red sequential color scale. Countries without data are rendered in gray, and the map includes graticules and interior boundaries for context. The visualization loads country geometries from the World Atlas TopoJSON and HIV prevalence data from a CSV file, joining them via ISO country codes. It uses d3’s `geoNaturalEarth1` projection, `geoPath`, and `geoGraticule`, with React managing the SVG rendering.

Aandychai07