HIV/AIDS Choropleth Map

100%

HIV/AIDS Choropleth Map

✓ Published0🌍 Public

Last edited Apr 26, 2020

Created on Apr 26, 2020

This choropleth map visualizes the share of the population aged 15–49 infected with HIV/AIDS for the year 2017, using a yellow-orange-red sequential color scale. Built with React and D3 v5, it renders geographic boundaries with `geoNaturalEarth1` and `geoPath`, while country-level data is joined to map features via ISO numeric codes. Missing countries appear gray, and the visualization includes graticules and interior borders for stylistic polish. Data comes from IHME and the World Atlas TopoJSON.

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

Similar vizzes

Loading thumbnail…

HIV/AIDS Choropleth Map

This choropleth map visualizes the share of the population aged 15-49 infected with HIV/AIDS in 2017, using a yellow-orange-red sequential color scale. Country boundaries and graticules are rendered with d3.geoPath and a geoNaturalEarth1 projection, while missing data is shown in gray. The visualization is built with React and D3 v5, pulling country shapes from World Atlas TopoJSON and HIV prevalence data from the IHME via CSV.

Wwindwaver

98% match

Loading thumbnail…

HIV/AIDS Choropleth Map

A choropleth map visualizes the share of the population aged 15-49 infected with HIV/AIDS in 2017, using a yellow-orange-red sequential color scale on a Natural Earth projection. The map renders countries as SVG paths via d3.geoPath, with gray fill for missing data, and includes graticules and interior borders. Data comes from the IHME HIV prevalence CSV and country codes from the ISO-3166 dataset, processed in React with d3-scale and topojson.

LLaura Johnson

98% match

Loading thumbnail…

HIV/AIDS Choropleth Map

A choropleth map visualizes the share of the population aged 15–49 infected with HIV/AIDS in 2017, using a yellow-orange-red sequential color scale. Each country is filled according to its prevalence value, with gray indicating missing data. The map uses the Natural Earth projection via `geoNaturalEarth1` and `geoPath`, with graticules and country interiors drawn as SVG paths. Data comes from the IHME HIV prevalence CSV, joined to country geometries via numeric codes from the ISO-3166 dataset, and rendered in React with D3 v5.

Ddanrhymes

97% match

Loading thumbnail…

HIV/AIDS Choropleth Map

This choropleth map visualizes the global share of the population aged 15-49 infected with HIV/AIDS for the year 2017, using a yellow-to-red sequential color scale that intensifies with higher prevalence. Country boundaries come from the World Atlas TopoJSON, while prevalence data originates from an IHME CSV dataset, matched to country shapes via ISO numeric codes. The visualization is built with React, D3 v5’s `geoNaturalEarth1` projection and `geoPath` for rendering SVG paths, including graticules and interior borders. Missing data countries appear in gray.

CChongho Lee

97% match

Loading thumbnail…

HIV / AIDS Choropleth Map

This HIV/AIDS choropleth map visualizes the percentage of the population aged 15-49 infected with HIV for the year 2017, using a yellow-orange-red sequential color scale to indicate severity. Countries without data appear in grey. The visualization uses d3.geoNaturalEarth1 and d3.geoPath to render the world map, with graticules and country interiors drawn for context. React manages the component state, while d3.csv fetches the HIV prevalence data from the IHME dataset and d3.json loads the World Atlas TopoJSON.

KKevin McMorrow

97% match

Loading thumbnail…

HIV/AIDS Choropleth Map

A choropleth map visualizes the global prevalence of HIV/AIDS among adults aged 15-49 in 2017, with countries colored on a sequential yellow-to-red scale based on infection rates. Missing data renders in gray. Built with React and D3 v6, the map uses `geoNaturalEarth1` and `geoPath` to project world atlas TopoJSON data, while CSV data from the IHME is joined to country codes via a lookup table.

AAmir

97% 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

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

97% match