Circles on a map

Circles on a Map

This example visualizes global population estimates for 2018 using circles overlaid on a natural Earth projection map. Countries with missing data appear pink, while populated areas are gray with semi-transparent cyan circles sized by population via d3.scaleSqrt. The visualization includes an interactive size legend with formatted tick values and a color legend. It uses d3.geoPath, d3.geoCentroid, d3.zoom, and d3.scaleOrdinal, rendering with SVG. Population data comes from a UN CSV file joined to TopoJSON world geometry, with tooltips showing country names and population counts.

Ffloresh

Circles on a map

This example shows world population estimates for 2018, using circles sized by population on a natural Earth projection. Countries lacking data are colored pink, while those with data are gray and hover to teal. The visualization uses D3’s `geoPath` to render the map and `scaleSqrt` for circle radii, with a size legend built via D3’s `scaleOrdinal` and custom legend modules. Data is loaded from a CSV and a TopoJSON atlas, processed with `topojson.feature`, and rendered as SVG within a React starter.

Jjeelong

Circles on a map

This visualization displays world population data for 2018 using circles positioned at country centroids on a natural Earth projection map. Countries lacking data are tinted pink, while those with values appear gray with teal, semi-transparent circles scaled by square-root transformation. The map uses `d3.geoPath` and `d3.geoNaturalEarth1` for projection, and interactive zoom via D3's `zoom` event. Population figures are loaded from a CSV via `d3.csv`, joined to TopoJSON country shapes transformed with `topojson.feature`, and a custom legend illustrates circle size.

SSiddhartha Gupta

Circles on a Map

This visualization displays global population data for 2018, using a natural Earth projection with circles sized by population at each country’s centroid. Countries with missing data appear in light red, while mapped regions are gray and populating circles use a teal fill. The map supports zooming via d3.zoom, and the code employs d3.geoPath for rendering country boundaries, d3.scaleSqrt for circle sizing, and d3.scaleOrdinal with a spectral scheme for the color legend. Data comes from a CSV file joined to TopoJSON world geometries, with both size and color legends implemented as reusable D3 modules.

Ffbudwill

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.

GGamue-cmd

Circles on a Map

This visualization displays global population data for 2018 using circles positioned on a natural Earth projection map. The area of each circle encodes a country’s population, and hovering reveals exact values alongside the country name, while pan and zoom controls allow exploration. The map is rendered as SVG using d3.geoPath with TopoJSON world data, while population values are loaded from a CSV. Circle sizes derive from a d3.scaleSqrt, and a custom legend communicates scaling. The example also includes a color legend component and employs d3.zoom for interactivity.

PPhilRG

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 data for 2018 using scaled circles positioned at country centroids on a natural Earth projection map. Circle area encodes population magnitude, while hovering reveals exact population figures and regional names. The map supports pan and zoom interactions through d3.zoom. Built with d3.geoNaturalEarth1 and d3.geoPath for map rendering, it uses d3.scaleSqrt for circle sizing and d3.scaleOrdinal with a spectral scheme for the categorical color legend. Population data comes from a CSV file processed alongside TopoJSON world boundaries.

EElena Dreosti