Circle on a Map

Circles on a Map

This visualization displays global population data for 2018 by projecting circles onto a natural Earth map, with circle area proportional to each country’s population. Users can pan and zoom, and hovering reveals country names and population values. The code uses `d3.geoNaturalEarth1`, `d3.geoPath`, `d3.geoCentroid`, and `d3.zoom` for the map and interactions. Data comes from a CSV joined with TopoJSON world atlas geometries, and circles are rendered as SVG elements. A square-root scale controls circle sizes, accompanied by custom size and color legends.

Pputrafandy

Circles on a Map

This visualization uses a natural Earth projection to display global population data for 2018, with each country represented by a circle whose area is proportional to its population. The map supports pan and zoom interactions, and hovering over a country reveals its population through a tooltip. Built with D3.js, it uses `d3.geoPath` for map rendering, `d3.scaleSqrt` for the size scaling, and custom legends to explain both the color scheme and circle sizes. Population data comes from a CSV file joined to a TopoJSON world atlas.

GGamue-cmd

Circles on a Map

This example visualizes global population data on an interactive world map, with circular markers sized proportionally to each country’s 2018 population via a square-root scale. Hovering over a country reveals its exact population in a tooltip. The map uses d3.geoNaturalEarth1 and d3.geoPath for geographic projection and rendering, while d3.zoom enables pan and zoom. Circles are positioned using d3.geoCentroid, and data merges CSV population figures with TopoJSON world boundaries using topojson.feature, with legends built through custom colorLegend and sizeLegend modules.

KKarkG

Circles on a Map

This visualization displays global population by country using circles overlaid on a natural Earth projection map, with circle area proportional to 2018 population data. Users can pan and zoom the map and hover over countries to see region names and population figures. The implementation uses D3 v5 with `geoNaturalEarth1`, `geoPath`, `geoCentroid`, and `scaleSqrt` for sizing, while loading data from a CSV file and TopoJSON world atlas. Circle positions derive from projected centroids, and a custom size legend communicates the population scale.

EElena Dreosti

Circles on a Map

This example visualizes global population data for 2018 by placing semi-transparent circles on a natural Earth projection map, where each circle’s area corresponds to a country’s population. Users can pan and zoom the SVG scene, and hover over countries to see their name and exact population in a tooltip. The code uses d3.geoNaturalEarth1, d3.geoPath, d3.geoCentroid, d3.zoom, d3.scaleSqrt, and d3.scaleOrdinal, with population data loaded from a CSV and country boundaries from TopoJSON. A custom size legend and color legend are implemented using SVG groups.

Yyuyang

D3 Circles on a Map

This example visualizes global population estimates for 2018 using semi-transparent circles positioned over a natural Earth projection map. Countries with missing data appear in a different shade, while hover effects highlight individual nations. The visualization loads UN population data from a CSV file and country boundaries from a TopoJSON world atlas, then renders the map using `d3.geoPath` and `d3.geoNaturalEarth1`. Circle sizes are scaled with `d3.scaleSqrt`, positioned via `d3.geoCentroid` and `projection`, and the map supports zooming through `d3.zoom`. A custom legend is drawn using SVG circles and text.

Rrdeichert

Circles on a Map

This visualization maps global population data by country, using circle areas scaled with `d3.scaleSqrt` to represent each nation’s population. The world map is rendered with the Natural Earth projection via `d3.geoPath`, and users can pan and zoom using `d3.zoom`. Hovering over a country reveals its name and population, while circles are positioned at geographic centroids computed with `d3.geoCentroid`. Data comes from a CSV file loaded and processed alongside TopoJSON world geometry.

Iinroadings

Circles on the Map

This visualization displays the global population distribution for 2018 using sized circles positioned over a natural Earth projection map. Each circle’s radius encodes population magnitude via a square-root scale, with a corresponding size legend and a categorical color legend for missing data. The code uses D3 v5’s `geoPath`, `geoNaturalEarth1`, `zoom`, and `scaleSqrt`, rendering SVG elements. Data comes from a CSV file merged with TopoJSON world atlas geometries, and interaction includes hover tooltips showing region names and formatted population values.

Pprincit