Map

Basic geo path

This example displays a world map using an equal-earth projection, with country boundaries drawn as SVG paths. It loads GeoJSON country shapes and CSV population growth data, computing a color scale based on the 2020 population growth rates for each country. The code uses d3.json, d3.csv, d3.geoEqualEarth, d3.geoPath, and d3.scaleLinear, though the population data is processed but not yet applied to the map. The visualization renders static gray country outlines without color encoding, demonstrating basic D3 v6 geographic path setup.

81% match

HTML Starter

This example shows a world map rendered with D3’s Mercator projection, displaying country boundaries as SVG paths. The code loads GeoJSON country features from the world-atlas TopoJSON file via `topojson.feature`, then appends each country as a `<path>` using `d3.geoPath`. The accompanying `data.csv` includes population figures, but the current script does not encode population visually—only the geographic outlines appear. The map is drawn inside a fixed 960×600 SVG, with CSS styling for tick lines, though no axes or scales are currently applied to the map itself.

NNebotXavi

80% match

World Map

This example displays a world map by rendering country boundary shapes from a GeoJSON file using an equal-earth projection. It loads the geographic data with d3.json and draws each country as an SVG path via d3.geoPath. The map is appended to the page inside a fixed-size SVG container, demonstrating a minimal setup for showing vector-based geographic shapes with D3 version 6.

Let's make a map with D3.js!

This example loads a GeoJSON file of world country boundaries from a remote URL and logs the parsed data structure to the browser console, preparing for map visualization. The SVG canvas is set to 960 by 500 pixels, and the page uses D3 v5 along with TopoJSON v3 to handle geographic data. The code imports `select` and `json` from D3 and `feature` from TopoJSON, though the actual map rendering with `d3.geoPath` is not yet implemented, leaving the visualization incomplete at this stage.

RRoyCsuka

Let's make a map with D3.js!

This example displays a world map using an orthographic projection, rendering countries as light-green SVG paths with dark strokes. It loads geographic data from a TopoJSON world-atlas file via `d3.json`, then converts it to GeoJSON using `topojson.feature`. The map is drawn with `d3.geoPath` and `d3.geoOrthographic`, projecting the spherical landmasses onto a flat plane. The dark blue background and minimal styling emphasize the Earth’s curved shape, creating a simple globe-like visualization.

Lets make a map with D3.js

This example uses D3.js to render a world map with an orthographic projection on an SVG. It loads country boundary data from the world-atlas TopoJSON file, converts it to GeoJSON with the `feature` function, and draws the paths using `d3.geoPath` and `geoOrthographic`. The map shows all countries filled in green with black strokes against a sky blue background.

Let's make a map with D3.js!

This example demonstrates how to create a world map with D3.js, rendering countries as light-green SVG paths on a dark blue background. It uses the `geoMercator` projection and `geoPath` to convert geographic coordinates into SVG path data, while TopoJSON’s `feature` method extracts country boundaries from a world-110m dataset loaded from unpkg. The visualization focuses on a clean, minimal map with thin black strokes separating countries, making it a straightforward introduction to geo-spatial data visualization.

77% match