HIV/AIDS Choropleth Map

100%

HIV/AIDS Choropleth Map

✓ Published0🌍 Public

Last edited Aug 8, 2021

Created on Aug 8, 2021

This choropleth map visualizes HIV/AIDS prevalence rates for the year 2017 across countries, with each nation colored on a yellow-orange-red sequential scale according to the percentage of the population aged 15-49 infected. Country boundaries are drawn using d3.geoPath with a geoNaturalEarth1 projection, while graticules and sphere outlines provide geographic context. Data is loaded from the IHME CSV via d3.csv, and country codes are matched to join prevalence values to map features. Gray indicates missing data for countries without reported statistics.

AI-generated description

A world map of the Missing Migrants Dataset.

Each point in the plot represents a single event.

Country boundaries from World Atlas TopoJSON.

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 for the year 2017, with each country colored on a yellow-to-red sequential scale based on its infection rate. Countries lacking data are rendered in gray. The map uses a Natural Earth projection with graticule and interior borders, built with React and D3's `geoPath`, `geoNaturalEarth1`, and `geoGraticule` modules. Data is loaded from a CSV file containing IHME prevalence estimates, joined to country codes via ISO-3166 metadata.

JJun Suzuki

97% 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

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. 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

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

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

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

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

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