Skip to main content
SimilarExport ZIP
100%

Making a Choropleth Map

✓ Published0🌍 Public
NNikhil Reddy Manda
Last edited May 17, 2021
Created on May 17, 2021

This choropleth map visualizes global HIV prevalence rates among adults aged 15-49 for the year 2017, using a yellow-to-red sequential color scale to encode the percentage of the population infected. The map renders country polygons via `d3.geoPath` with a `geoNaturalEarth1` projection, overlaid with graticules and interior boundaries. Missing data appears in gray. The visualization uses React for component structure, `useWorldAtlas`, `useData`, and `useCodes` hooks to load TopoJSON and CSV datasets, and `d3.scaleSequential` with `interpolateYlOrRd` to map values to colors.

AI-generated description

Making a Choropleth Map

MIT Licensed

Similar vizzes

Loading thumbnail…

Choropleth Map

A choropleth map visualizes the global prevalence of HIV/AIDS among adults aged 15-49 in 2017. Countries are filled with a yellow-orange-red sequential color scale from `d3.scaleSequential` and `interpolateYlOrRd`, with gray for missing data. The map uses `d3.geoNaturalEarth1` projection and `d3.geoPath` on TopoJSON data from the World Atlas, rendering country boundaries and graticules via SVG. HIV prevalence data comes from IHME, joined to country codes via ISO-3166 reference data.

RRahul Ranjan
95% 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
94% match
Loading thumbnail…

HIV/AIDS Choropleth Map

A choropleth map shows the global prevalence of HIV/AIDS among adults aged 15-49 for the year 2017, using a yellow-to-red sequential color scale where darker shades indicate higher infection rates. Countries with missing data appear in light gray. The visualization is built with React and D3 v7, using `geoNaturalEarth1` and `geoPath` for map projection, `geoGraticule` for grid lines, and TopoJSON world atlas data. The choropleth applies a `scaleSequential` with `interpolateYlOrRd` to color each country polygon.

KK3zter
94% 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
94% match
Loading thumbnail…

Choropleth Map

This choropleth map visualizes the global prevalence of HIV/AIDS among adults aged 15-49 in 2017, using a yellow-orange sequential color scale where darker shades represent higher infection rates. Countries with missing data appear in grey. Built with React and D3 v5, the visualization loads world country boundaries from a TopoJSON dataset and HIV prevalence data from a CSV file. The code projects geographic coordinates using `geoNaturalEarth1`, renders country shapes with `geoPath`, and overlays graticules via `geoGraticule`.

Rrajamrit-singh
94% 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
94% match
Loading thumbnail…

HIV Choropleth

This choropleth map visualizes the global prevalence of HIV among adults aged 15–49 in 2017, with countries colored on a yellow-orange-red sequential scale based on infection rates. Built with React and D3 v5, it uses `geoNaturalEarth1` and `geoPath` to render world country boundaries, graticules, and interiors from TopoJSON data. Country codes are joined from an ISO-3166 CSV dataset to map each feature to its HIV prevalence value, while gray indicates missing data. The color scale uses `scaleSequential` with `interpolateYlOrRd`.

Ffjvoris
94% 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
94% match