Circles on a Map

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.

98% match

Circles on a Map

98% match

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

97% match

Circles on a Map

This visualization displays global population data for 2018 using proportional circles positioned at country centroids on a natural Earth projection. The map uses d3.geoPath and d3.geoCentroid to render countries and place scaled symbols, with d3.scaleSqrt determining circle radii. Hovering reveals country names and population values via SVG titles. Pan and zoom are enabled through d3.zoom, while a d3.scaleSqrt-based legend indicates population magnitudes. Data comes from a CSV file of UN population estimates joined with TopoJSON world geometry, rendered as SVG with color coding for missing values.

Bbprokopowicz

97% match

Circles on a Map

This visualization depicts global population data for 2018, using proportional circles on a natural Earth projection map. Country boundaries are rendered as SVG paths via `d3.geoPath`, while circle areas encode population using `d3.scaleSqrt`. Pan and zoom are enabled through a custom `zoom` event handler. Data is loaded from a CSV file and a TopoJSON world atlas, merged by country code. A size legend clarifies the scaling, and hovering on a country reveals its name and population via a tooltip.

MMartin Palanca

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.

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 circles overlaid on a natural Earth projection map. The area of each circle is proportional to the country’s population, with missing data highlighted in red. Users can pan and zoom via d3.zoom, and hover over countries to see exact population figures. Built with D3 v5, it uses d3.geoPath and d3.geoNaturalEarth1 for map rendering, d3.scaleSqrt for circle sizing, and TopoJSON for world boundaries, with population data joined from a CSV file.

Ggcappadaniel