Skip to main content
SimilarExport ZIP
100%

Circles on a Map

✓ Published1🌍 Public
CCarloGato
Last edited Dec 14, 2019
Created on Dec 14, 2019
Forked from Circles on a Map

This visualization displays global population estimates for 2018 by placing semi-transparent blue circles at the geographic centroids of each country on a natural Earth projection. The map supports zooming and panning via d3.zoom, with a size legend showing population values scaled using d3.scaleSqrt. Data combines UN population CSV with TopoJSON world boundaries, processed using d3.csv, d3.json, and topojson.feature. The code uses d3.geoPath, d3.geoCentroid, and d3.geoNaturalEarth1, alongside SVG rendering to show the choropleth-like country fills and legend components.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Circles on a Map

This visualization displays global population estimates for 2018 by placing semi-transparent blue circles at the geographic centroids of each country on a natural Earth projection. The map supports zooming and panning via d3.zoom, with a size legend showing population values scaled using d3.scaleSqrt. Data combines UN population CSV with TopoJSON world boundaries, processed using d3.csv, d3.json, and topojson.feature. The code uses d3.geoPath, d3.geoCentroid, and d3.geoNaturalEarth1, alongside SVG rendering to show the choropleth-like country fills and legend components.

CCarloGato
100% match
Loading thumbnail…

Circles on a Map

This visualization shows global population estimates for 2018 as colored circles positioned at the geographic centroid of each country on a natural Earth projection. A size legend encodes population magnitudes, while a color legend maps a categorical scale, with countries lacking data highlighted in a different shade. The code uses d3.geoPath and d3.geoCentroid for map rendering, d3.scaleSqrt for circle sizing, and d3.scaleOrdinal with a spectral scheme for colors. Population data comes from a UN CSV dataset, joined to country geometries from a TopoJSON world atlas. Users can pan and zoom via d3.zoom, with hover tooltips showing region names and formatted population counts.

NNita
96% match
Loading thumbnail…

Circles on a Map

This map visualization displays global population by country using semi-transparent circles sized proportionally to 2018 population data from the UN, with a square-root scale for area encoding. The code uses d3.geoNaturalEarth1 projection, d3.geoPath, and d3.geoCentroid to position circles at country centroids, while d3.zoom enables panning and zooming. Hovering reveals country names and population values via SVG title elements, and a custom size legend explains the circle scaling. Data sources include UN population CSV and TopoJSON world atlas geometry.

Jjesramyep1263
95% match
Loading thumbnail…

Circles on a Map

This map visualizes global population estimates for 2018 by projecting country centroids onto a natural Earth projection. Circles sized proportionally to population via a square-root scale are placed at each centroid, while uniform circles represent countries lacking data. The visualization uses D3.js APIs including `geoPath`, `geoCentroid`, `geoNaturalEarth1`, `scaleSqrt`, and `scaleOrdinal`, rendering with SVG. Population data comes from a CSV of UN estimates, and country shapes from a TopoJSON world atlas.

Jjons288
95% match
Loading thumbnail…

Circles on a map

This map visualization displays the global population distribution for 2018 using circles sized by population count, placed at each country's geographic centroid over a natural Earth projection. The map uses `d3.geoPath` for rendering country boundaries and `d3.scaleSqrt` for circle sizing, with a legend showing population ranges. Users can zoom and pan using `d3.zoom`. Population data comes from a UN dataset (medium variant estimates), joined with TopoJSON world geometry via `d3.json` and `d3.csv`. A color legend marks missing data countries in red.

Ccornshoots
95% match
Loading thumbnail…

Circles on a Map

This visualization displays global population estimates for 2018 as proportional circles positioned at country centroids on a natural Earth projection map. Country boundaries are rendered as paths using d3.geoPath, while circle radii scale with population via d3.scaleSqrt. Two legends—a size legend and a color legend—communicate the quantitative mapping, with colors assigned through d3.scaleOrdinal. The map supports zooming through d3.zoom, and data comes from United Nations population estimates loaded as CSV and TopoJSON, processed with topojson.feature.

HHe Jianfeng
95% match
Loading thumbnail…

Circles on A Map

This visualization displays global population estimates for 2018 by drawing semi-transparent circles on a natural Earth projection map, with each circle positioned at a country's centroid and sized proportionally to its population. The map also includes a size legend and color legend for reference. Built with D3 v5, it uses `d3.geoNaturalEarth1` and `d3.geoPath` for map rendering, `d3.scaleSqrt` for circle sizing, and `d3.zoom` for interactivity. Population data comes from a UN dataset, with geographic boundaries from TopoJSON, and all elements are rendered as SVG.

MMuhammad Jarir Kanji
95% match
Loading thumbnail…

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
95% match