HIV/AIDS Choropleth Map

100%

HIV/AIDS Choropleth Map

✓ Published0🌍 Public

Last edited Feb 15, 2023

Created on Feb 15, 2023

A choropleth map of global HIV/AIDS prevalence in 2017, using a yellow-orange-red sequential color scale to show the share of the population aged 15-49 infected. The visualization renders country boundaries as SVG paths using `d3.geoPath` with a Natural Earth projection, with gray fill for countries lacking data. It joins CSV data to country geometries via ISO numeric codes, using `d3.scaleSequential` and `interpolateYlOrRd` for color encoding. Built with React and D3 v5, the map also displays graticules and interior borders.

AI-generated description

A scatter plot of The Iris Dataset.

MIT Licensed

Similar vizzes

Loading thumbnail…

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. The code employs React with D3 v6’s `geoNaturalEarth1` projection and `geoPath` to render SVG country shapes, while `d3.scaleSequential` and `interpolateYlOrRd` map data values to colors. Countries without matching data appear gray, and the map includes graticules and interior borders. Data is sourced from IHME via CSV, with country codes matched using ISO-3166 metadata.

Ssophievanderhorst

97% match

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

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

96% match

Loading thumbnail…

HIV/AIDS Choropleth Map

This choropleth map visualizes HIV/AIDS prevalence by country for the year 2017, with a sequential yellow-orange-red color scale (d3.scaleSequential with interpolateYlOrRd) encoding the proportion of the population infected. Countries lacking data are rendered in gray. The map uses a natural Earth projection via d3.geoNaturalEarth1 and d3.geoPath, with country boundaries and graticules from TopoJSON world-atlas data. React manages the component state, while D3 handles data loading from CSV files containing country codes and health statistics, and the SVG is styled with light gray fills for the sphere and graticules.

Mmtabaka

96% match

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

96% 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

96% match

Loading thumbnail…

HIV/AIDS Choropleth Map

A choropleth map visualizes global HIV/AIDS prevalence among adults aged 15-49 in 2017, with countries shaded on a yellow-to-red sequential color scale and missing data highlighted in red. Built with React and D3 v7, it uses `d3.geoNaturalEarth1` and `d3.geoPath` to render country boundaries and graticules from TopoJSON world atlas data, while CSV data from IHME is joined to countries via ISO numeric codes. The map employs `d3.scaleSequential` with `interpolateYlOrRd` for color encoding.

JJoe Hutchins

96% 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

96% match