HIV/AIDs Choropleth Map

HIV/AIDS Choropleth Map

This choropleth map visualizes HIV/AIDS prevalence rates among adults aged 15-49 by country for the year 2017, using a yellow-orange-red sequential color scale to encode the percentage values, with gray indicating missing data. The map is rendered as an SVG using React and D3’s geoNaturalEarth1 projection, with graticules and country boundaries from a TopoJSON world atlas. Country-specific data is loaded from a CSV file via d3.csv and joined to geographic shapes using alpha-3 country codes mapped to numeric codes, enabling the fill color for each path generated by d3.geoPath.

AAlice Hua

MMaxwell Dayvson da Silva

HIV/AIDS Choropleth Map

This visualization displays a choropleth world map of HIV/AIDS prevalence rates among adults aged 15-49 for the year 2017, using a yellow-to-red sequential color scale. The map renders country boundaries from World Atlas TopoJSON through `d3.geoNaturalEarth1` and `d3.geoPath`, with graticules and interiors drawn as separate SVG paths. React manages the data loading and state, pulling HIV prevalence statistics from an IHME CSV and mapping alpha-3 country codes to numeric identifiers via a supplementary ISO-3166 dataset. Countries without matching data appear gray.

HIV / AIDS Choropleth map

A choropleth map displays HIV/AIDS prevalence among adults aged 15–49 by country for the year 2017, using a yellow-orange-red sequential color scale. Countries with missing data are rendered in gray. The visualization uses React with d3-geo for the Natural Earth projection and geoPath, and d3-scale-chromatic for color interpolation. Data comes from the IHME HIV/AIDS dataset, loaded via d3.csv, and country boundaries are drawn from World Atlas TopoJSON using topojson.feature and topojson.mesh.

JJoakim Warholm

HIV/AIDS Choropleth Map

A choropleth map displays HIV/AIDS prevalence among adults aged 15–49 for the year 2017, with countries colored on a yellow-orange-brown sequential scale from `d3.scaleSequential` and `interpolateYlOrBr`, while nations lacking data appear gray. The visualization uses `d3.geoNaturalEarth1` and `d3.geoPath` to render country boundaries, graticules, and interiors from a TopoJSON world atlas. Data comes from a CSV of population infection rates, joined to countries via ISO numeric codes; React manages the component state and rendering as an SVG.

Aadewole-top

HIV/AIDS Choropleth Map

This choropleth map shows the global prevalence of HIV/AIDS among adults aged 15–49 in 2017, using a yellow-to-red sequential color scale to indicate infection rates, with missing data rendered in light grey. The visualization loads country geometries from a TopoJSON world atlas and plots them as SVG paths via `d3.geoPath` with an Equal Earth projection. It joins country codes and HIV prevalence data from Our World in Data using React hooks, applying `d3.scaleSequential` and `interpolateYlOrRd` for color encoding.

AAndre J Denais

HIV/AIDS Choropleth Map

This choropleth map visualizes HIV/AIDS prevalence among adults aged 15–49 for the year 2019, using a yellow-orange-red sequential color scale to encode infection rates per country. It employs React for component rendering and D3 v7’s `geoNaturalEarth1` projection with `geoPath` to draw country boundaries, graticules, and interiors as SVG. Missing data appears gray. The data comes from an IHME CSV, with country codes mapped via the ISO-3166 dataset.

OOleg Zhernovoy

HIV/AIDS Choropleth Map

This choropleth map visualizes HIV/AIDS prevalence among adults aged 15–49 across countries for the year 2017, using a yellow-orange-red sequential color scale. It loads country geometries from the world-atlas TopoJSON dataset and prevalence data from an IHME CSV, joining them via ISO country codes. The React-based component uses d3.geoNaturalEarth1 and d3.geoPath to render SVG paths, with d3.geoGraticule for grid lines and grey fill for missing data.

PPeter Krevenets

HIV/AIDS Choropleth Map

This choropleth map displays the global prevalence of HIV/AIDS among adults aged 15–49 for the year 2017, using a sequential yellow-orange-red color scale to indicate infection rates. Countries with missing data appear in grey. The visualization renders world countries as SVG paths using d3.geoPath with a geoNaturalEarth1 projection, overlaid with graticule and interior boundaries. Data from the IHME CSV is joined to country geometries via ISO numeric codes, while React manages the application state.

Ccynichole