Circles on a map

Circles on a Map

A world map rendered with SVG paths uses proportional circles to visualize each country's 2018 population, with circle area scaled via `d3.scaleSqrt` and positioned by `d3.geoCentroid` under a `d3.geoNaturalEarth1` projection. The visualization supports pan and zoom through `d3.zoom`, and hovering over a country reveals its population in a tooltip. Missing-data countries appear in a lighter shade. A size legend built from `d3.scaleSqrt` ticks and a color legend accompany the map, with data loaded from a CSV and TopoJSON using `d3.csv` and `d3.json`.

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 interactive map displays global population data using proportional circles positioned over each country’s centroid, with a color-coded legend for categories and a size legend for population values. Built with D3 v5, it renders world geography via `d3.geoPath` and a Natural Earth projection, while applying `d3.zoom` for panning. Population values from a CSV are joined to TopoJSON features, and `d3.scaleSqrt` determines circle radii, with tooltips showing region names and formatted numbers. SVG elements and transitions animate legend updates.

Ggilbster

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

Circles on a Map

This visualization displays population estimates by country for 2020 on a natural Earth projection map. Scaled circles positioned at each country’s centroid encode population magnitude, while a size legend and color legend provide reference. Users can pan and zoom via d3.zoom, and hovering over countries reveals tooltips with region names and formatted population values. The code uses d3.geoPath for map rendering, d3.scaleSqrt for circle sizing, and TopoJSON from the Visionscarto World Atlas, with data loaded from a CSV via d3.csv.

90% match

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

90% match