Circles on a Map

Circles on a Map

This visualization maps population by country using circles positioned at each country’s centroid, with circle area proportional to 2018 population data loaded from a CSV and joined to TopoJSON world geometry via d3.csv and topojson.feature. d3.geoNaturalEarth1, d3.geoPath, and d3.geoCentroid project the map, while d3.scaleSqrt sizes the circles. The map supports pan and zoom through d3.zoom, and hovering reveals country names and population values via SVG title elements. A custom size legend and a separate color legend are rendered as SVG groups.

CCurran Kelleher

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 map visualization depicts world population by country, with circle area scaled to the 2020 population figures. Users can pan and zoom across the interactive SVG, and hovering over a country highlights it while revealing a tooltip with the region name and population. The visualization is built with d3.v5, using geoNaturalEarth1, geoPath, and geoCentroid for the map projection, while loadAndProcessData merges CSV population data with TopoJSON world atlas shapes. A square-root scale controls circle size, and custom legends render the data encoding.

Circles on a Map

Circles on a Map

This visualization displays the 2018 population of countries using circles positioned on a natural Earth projection map. Circle area encodes population magnitude, with colors distinguishing countries that have data from those missing it. A size legend and color legend explain the encoding. Hovering reveals country names and population values, while pan and zoom enable exploration. The code uses d3.geoPath, d3.geoCentroid, d3.scaleSqrt, and d3.zoom, rendering with SVG. Data merges a CSV of population statistics with TopoJSON world geometry (50m resolution) loaded via d3.json and processed with topojson.feature.

Pputrafandy

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.

Circles on a Map

This visualization uses a natural Earth projection map to display the population of each country for 2018, with the area of each circle proportional to its population. The map supports pan, zoom, and hover interactions for additional details. The code employs d3.geoPath and d3.geoNaturalEarth1 for the map projection, along with d3.scaleSqrt for sizing the circles. Population data comes from a CSV file, while country boundaries are sourced from TopoJSON. Legends for both color and size are rendered using SVG, with hover effects revealing population figures.

CCarloGato

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.

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