Let's make a map with D3.js!

Let's make a map with D3.js!

This example shows a world map rendered as green SVG paths with black borders on a blue background. It uses D3.js v5 to load GeoJSON data from a GitHub repository and project it with a Natural Earth projection. The map is drawn by applying `d3.geoPath` with `geoNaturalEarth1` to each feature, while TopoJSON's `feature` function prepares the data. Styling is handled via CSS, and the visualization updates automatically once the remote data loads.

96% match

Let's make a map with D3.js!

This example demonstrates how to build a world map using D3.js, rendering geographic features as SVG paths with a natural Earth projection. The visualization loads geographic data from an external JSON file and uses the TopoJSON library to parse it before drawing each country or region. D3’s `geoNaturalEarth1` projection defines the map’s perspective, while `geoPath` projects the coordinates onto the screen. The code relies on D3 v5’s `json` method to fetch the data and uses `.enter()` to append the paths, offering a straightforward template for creating choropleth or point-based maps.

96% match

Let's make a map with D3.js!

This example shows a world map rendered as an SVG, featuring a blue sphere background and light green country outlines. It demonstrates a basic D3.js geographic visualization using `d3.geoNaturalEarth1` for the projection and `d3.geoPath` to generate path data for the sphere. The map loads TopoJSON data from a GitHub-hosted `.json` file via `d3.json` and the `topojson` library's `feature` module, though the country data is only logged to the console rather than drawn. The code imports specific D3 functions (`select`, `json`, `geoPath`, `geoNaturalEarth1`) and relies on v5 syntax, with CSS applying fill and stroke styling to the sphere and country paths.

Let's make a map with D3.js

This example displays a world map using a natural Earth projection, with countries rendered as light green SVG paths with subtle black strokes. The map is drawn from TopoJSON data loaded from the visionscarto-world-atlas package, using D3 v5’s `geoPath` and `geoNaturalEarth1` projection. A blue sphere path outlines the globe’s boundary. The code specifically imports `feature` from TopoJSON to convert topologies into GeoJSON features, then binds the country data to SVG path elements. The map appears on a blank background with no additional interactive features or transitions.

Mmla341

Let's make a map with D3.js

This example displays a world map using a natural Earth projection, with countries rendered as light green SVG paths and oceans shown as a blue sphere. The code loads geographic data from the world-atlas TopoJSON file, converts it to GeoJSON using the topojson `feature` function, and draws it with `d3.geoPath` and `d3.geoNaturalEarth1` from D3 v5. A single SVG element sized 960 by 500 hosts the visualization.

Eexistentialist1888

Let's make a map with D3.js!

This example shows how to create a world map using D3.js, rendering geographic features as SVG paths. It loads TopoJSON data from a remote URL and converts it to GeoJSON using the `feature` function from Topojson. The map uses a `geoNaturalEarth1` projection with a `geoPath` generator to draw each country boundary. The code imports specific D3 modules such as `select`, `json`, and `geoPath`, and appends path elements to an SVG canvas with a width of 960 and height of 500.

Let's make a map with D3.js!

This example renders a world map using the Natural Earth projection via D3.js. A light green SVG path for each country is drawn over a blue spherical backdrop, with black strokes at low opacity for boundaries. The code uses `d3.geoPath` with the `geoNaturalEarth1` projection, loads geographic data from the `world-atlas` 110m JSON dataset, and constructs country features using the `topojson` library. The visualization is entirely SVG-based.

DDan Grunebaum

94% match