HIV/AIDS Choropleth Map

100%

HIV/AIDS Choropleth Map

✓ Published0🌍 Public

Last edited Jun 12, 2021

Created on Jun 10, 2021

This choropleth map visualizes HIV/AIDS prevalence rates among adults aged 15-49 for 2017, using a sequential yellow-orange-red color scale applied to country polygons. The visualization pairs a React front end with D3 v5’s `geoEquirectangular` projection and `geoPath` to render SVG shapes, while `topojson` features and meshes define country boundaries and interiors. Data from the IHME dataset is joined to world atlas geometries via ISO country codes, with missing regions colored gray. The map includes graticules and a white sphere background for geographic context.

AI-generated description

A world map showing locations of Missing Migrants, polished for visual style, including graticules.

MIT Licensed

Similar vizzes

Loading thumbnail…

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

97% match

Loading thumbnail…

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.

MMaxwell Dayvson da Silva

97% match

Loading thumbnail…

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

96% match

Loading thumbnail…

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

96% match

Loading thumbnail…

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

96% match

Loading thumbnail…

HIV/ AIDS Choropleth Map

This choropleth map visualizes HIV/AIDS prevalence among adults aged 15–49 for the year 2017, using a sequential yellow-to-red color scale to show infection rates across countries. The visualization employs d3.geoPath with a geoNaturalEarth1 projection to render world country boundaries, graticules, and interior borders as SVG paths. Data comes from the Institute for Health Metrics and Evaluation (IHME) via a CSV file, joined to country shapes using ISO numeric codes. Countries without data appear gray, and React manages the component state while d3.ajax loads the world atlas and datasets.

SShanmukh

96% match

Loading thumbnail…

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

96% match

Loading thumbnail…

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

96% match