TopoJSON

100%

TopoJSON - Rajan

✓ Published1🌍 Public

Kkhushburajan2015@gmail.com

Last edited Nov 6, 2025

Created on Nov 6, 2025

A world map choropleth visualizes population estimates by country, with countries colored on a blue sequential scale, while nations lacking data appear in gray. The example loads country boundaries from TopoJSON via the `topojson-client` library and renders them with `d3.geoPath` in an SVG, applying a Mercator projection. Interactive tooltips display each country’s population value on mouse hover. The color mapping is derived from a `d3.scaleQuantize` scheme, and the map includes a graticule overlay for reference.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

This world map choropleth visualizes population density per km² by country, using a threshold color scale with breakpoints at 1, 10, 30, 50, and 100 people per square kilometer. Countries without matching data appear gray. The visualization renders with d3.geoPath and a Mercator projection fitted to a 960×520 SVG,

AAnurup Reddy

83% match

Loading thumbnail…

world map for Topojson data

This example displays a world map rendered from TopoJSON data, with countries shown as grey filled paths with cyan strokes against a light pink globe background. It uses d3.geoPath with a d3.geoNaturalEarth1 projection to generate SVG paths from geographic features. The code loads the TopoJSON file via d3.json and converts it to GeoJSON using topojson.feature. The visualization framework is D3 v5, with map styling controlled through the stylesheet’s `.country` and `.globe` classes.

RRahulSai05

82% match

Loading thumbnail…

country map with Topojson data

A map of India displays district-level administrative boundaries, with each district colored by its state using an ordinal color scale derived from `d3.scaleOrdinal` and `d3.schemeCategory10`. The visualization loads two TopoJSON files—one for state outlines and one for districts—then projects them onto a `d3.geoMercator` projection centered on the country. `d3.geoPath` generates SVG paths for both layers, with hover effects on districts and zooming enabled via `d3.zoom`.

MMounika0927

81% match

Loading thumbnail…

World Map with Topojson data

This example displays a world map using TopoJSON data, rendering countries as blue-filled paths with pink strokes against a white spherical backdrop. It uses D3 v5’s `geoMercator` projection and `geoPath` to convert geographic coordinates into SVG paths, while the TopoJSON library’s `feature` method extracts country geometries from a remote JSON file. The visualization loads data asynchronously via `json` and appends each country path to the SVG canvas, demonstrating a straightforward choropleth-free baseline of global boundaries.

PPrathyusha0304

81% match

Loading thumbnail…

map

This visualization displays a world map where each country is colored according to its population using a sequential yellow-orange-red color scale. Population data is loaded from a CSV file and merged with country geometries from the world-atlas TopoJSON dataset. The map uses a Mercator projection via d3.geoMercator and renders paths with d3.geoPath, while hovering over a country reveals its name and population in a tooltip. Missing data appears gray, and the SVG canvas includes a light blue background.

PP Manisha

80% match

Loading thumbnail…

Fork of State Map with Population - Rajan

A fork of a U.S. state map choropleth visualizes state population data using a blue sequential color scale. The visualization loads TopoJSON from the `us-atlas` package and a text file of state populations, parsing both via `Promise.all` and `d3.json`/`d3.text`. It projects boundaries with `d3.geoAlbersUsa` and `d3.geoPath`, and maps FIPS codes to state names via a lookup table. Users inspect values through an HTML tooltip triggered by mouseover, with SVG rendering for all map elements.

Kkhushburajan2015@gmail.com

79% match

Loading thumbnail…

World Map with TopoJSON

This example displays a world map rendered as green SVG paths on a light blue background, with countries brightening on mouseover. It loads country boundaries from the world-atlas TopoJSON dataset and converts them to GeoJSON features using topojson.feature. The d3.geoMercator projection and d3.geoPath API generate the map geometry, while event handlers dynamically change path fill colors to highlight individual countries.

Ssumanthsomu1

79% match

Loading thumbnail…

country map

This example displays a choropleth map of India, rendered as SVG paths using the Mercator projection. The map visualizes the country’s regions with categorical colors from `d3.scaleOrdinal` and `schemeCategory10`, and each region shows a tooltip title on hover. The code loads TopoJSON data from a GitHub gist via `d3.json`, parses it with `feature` from the topojson library, and draws paths using `d3.geoPath`. Hovering changes the fill color to pink, and the map includes a heading text layer.

Kkranthireddyskr

79% match