Let's make a map with D3.js!

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.

91% match

Let's make a map with D3.js!

This example displays an orthographic map of the world, rendered as green SVG paths with black outlines on a blue background. It loads geographic data from a remote JSON file and projects it using `d3.geoOrthographic` and `d3.geoPath`, while `topojson.feature` converts the TopoJSON input into GeoJSON features. The map is static, with no interaction or animation, and serves as a simple demonstration of generating a globe-like projection with D3.js v5.

91% match

Let's make a map with D3.js!

This example shows a simple world map rendered with D3.js, displaying geographic features as green filled paths with black borders against a blue background. The visualization loads GeoJSON data from a remote GitHub URL using `json()` and applies `geoPath()` from the d3-geo module to generate the SVG path data. With topojson-client’s `feature()` method, the code binds the geographic features to `path` elements in an SVG canvas via `selectAll()`. The map is static, with styling defined in CSS, and serves as a basic introduction to mapping with D3 v5.

Let's make a map with D3.js!

This example demonstrates how to build a map visualization using D3.js, displaying geographic features as green polygons with black outlines on a blue background. It loads GeoJSON data from a remote URL and renders it as SVG paths using the `geoPath` generator with the `geoAiryRaw` projection from d3-geo-projection. The code relies on `d3.json` for data loading and topojson’s `feature` conversion, with all styling defined in external CSS.

Let's make a map with D3.js!

This example shows a world map rendered as a set of SVG paths, with countries filled in light green and the sphere background in blue. It uses D3.js v5 and the topojson library to load and convert geographic data from the world-atlas GeoJSON file into country features. The projection is set with `d3.geoNaturalEarth1`, and paths are generated through `d3.geoPath`. The map appears after the JSON data is fetched asynchronously, with each country drawn as an individually styled path element.

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 demonstrates how to create a simple world map using D3.js v5 and TopoJSON. It loads geographic data from a remote JSON file and renders each country as an SVG path using `d3.geoMercator` for the projection and `d3.geoPath` to generate the path data. The map is drawn onto a static SVG canvas with no interaction or animation. The code relies on the `json` function from D3’s fetch module and the `feature` method from TopoJSON to convert the raw data into GeoJSON features.

Let's make a map with D3.js!

This example demonstrates how to create a world map using D3.js version 5 and the TopoJSON library. It loads geographic data from a remote JSON file and renders country boundaries as SVG paths using the `geoNaturalEarth1` projection and `geoPath` API. The visualization shows the map at a fixed 200 by 200 pixel size with no interactivity or styling beyond the default path rendering.