Circles on a Map

Circles on a Map

This visualization shows world population by country using proportional circles on a natural Earth projection map, with circle area corresponding to 2018 population data from a UN dataset. Users can pan and zoom, while hovering reveals a country’s name and population. The code uses `d3.geoPath` with `topojson` for map features, `d3.scaleSqrt` for circle sizing, and `d3.zoom` for interaction. A size legend displays tick marks, and a color legend is also implemented, with SVG rendering throughout.

NNikkor

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 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 maps global population by country using proportional circles centered on each nation’s geographic centroid. The area of each circle encodes the 2018 population estimate, with missing data shown in red on a gray map. Users can pan and zoom via d3.zoom, and hover over countries to reveal population values in tooltips. The code uses d3.geoPath, d3.geoNaturalEarth1, and topojson for map rendering, with a d3.scaleSqrt for circle sizing and a custom size legend.

Pputrafandy

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 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 by country using scaled circles on a natural Earth projection map, with circle area proportional to each country's 2018 population. Users can pan and zoom via d3.zoom and hover over countries to see exact population figures through SVG title tooltips. The example uses d3.geoNaturalEarth1 and d3.geoPath for map rendering, d3.scaleSqrt for circle sizing, and topojson for world geometry. Population data is loaded from a CSV file, and countries lacking data appear in red rather than gray.