Circles on a Map

Circles on a Map

This visualization displays population by country using proportional circles on a natural Earth projection map, with circle area corresponding to each nation's 2018 population. Users can pan and zoom the map via d3.zoom and hover over countries to reveal population details in a tooltip. The code uses d3.geoPath, d3.geoCentroid, and d3.scaleSqrt to position and size circles, while a custom size legend and color legend are built with D3 selections. Population data originates from a CSV file, joined with TopoJSON world geometry using topojson.feature.

Circles on a Map

This visualization displays global population data for 2018 using proportional circles overlaid on a natural Earth projection map. The area of each circle represents the population of its corresponding country, with circles positioned at the centroid of each nation. The map uses d3.geoPath for rendering country boundaries and a d3.scaleSqrt for sizing circles. Users can pan and zoom through the d3.zoom API, and hovering over a country reveals its population via a title tooltip. Data comes from a CSV joined with a TopoJSON world atlas, and a custom size legend communicates the circle-to-population mapping.

Circles on a Map

Circles on a Map

This visualization displays global population data for 2018 using proportional circles positioned at country centroids on a natural Earth projection map, with circle area scaled by population via d3.scaleSqrt. Countries lacking data appear in pink, while those with data are gray, and hovering shows a tooltip with the region name and population. Users can pan and zoom the map using d3.zoom, and a size legend generated with d3.ticks communicates the population scale. The visualization relies on d3.geoPath and d3.geoCentroid for geographic rendering, TopoJSON for world boundaries, and CSV data joined by country code to populate each feature.

RRaymond Li

Circles on a Map

This visualization displays global population data for 2018 using proportional circles centered on each country, with area encoding population size. The map supports pan and zoom, and hovering reveals a tooltip with the country name and exact population. It uses a natural Earth projection via d3.geoNaturalEarth1, with d3.geoPath for country boundaries and d3.scaleSqrt for circle sizing. A custom size legend and color legend (d3.scaleOrdinal with schemeSpectral) provide context. Data comes from a CSV file merged with world topology from TopoJSON, rendered as SVG. The implementation uses d3.zoom for interaction and d3.geoCentroid to position circles.

KKevinw97

Circles on a Map

This visualization displays global population estimates for 2018 as proportional circles positioned at country centroids on a natural Earth projection map. Country boundaries are rendered as paths using d3.geoPath, while circle radii scale with population via d3.scaleSqrt. Two legends—a size legend and a color legend—communicate the quantitative mapping, with colors assigned through d3.scaleOrdinal. The map supports zooming through d3.zoom, and data comes from United Nations population estimates loaded as CSV and TopoJSON, processed with topojson.feature.

HHe Jianfeng

95% match

Circles on a Map

This visualization displays global population by country as proportional circles positioned at each country’s centroid on a natural Earth projection. The circle area encodes 2020 population data from a CSV file, with countries lacking data shown in gray. Users can pan and zoom via d3.zoom, and hovering over a country reveals its name and population in a tooltip. The map uses d3.geoPath for geographic outlines, d3.geoCentroid for circle placement, and d3.scaleSqrt for sizing, with a custom size legend and color legend rendered in SVG.

95% match