D3 test

Let's make a map with D3.js!

This example displays a choropleth map of geographic features rendered as SVG paths. It uses D3.js v5 to load the GeoJSON data, apply a Mercator projection with `d3.geoMercator`, and generate the path data via `d3.geoPath`. The TopoJSON library converts the datasource into GeoJSON features using `feature()`, while `d3.json` fetches the remote file before appending each path to the SVG canvas.

78% match

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.

78% match

Let's make a map with D3.js!

This example displays a world map rendered with SVG paths, using D3.js v5 and TopoJSON. It loads geographic country boundaries from the world-atlas dataset and projects them with a Mercator projection. The code uses `d3.geoPath` and `d3.geoMercator` to generate the map, while `topojson.feature` converts the TopoJSON data into GeoJSON features. Countries appear filled in steel blue with black, semi-transparent borders, demonstrating a minimal choropleth-style base map.

HHwl98

78% match

Let's make a map with D3.js!

This example demonstrates how to create a world map using D3.js and TopoJSON. It renders country boundaries as green SVG paths with thin black strokes on a dark blue background, using a Mercator projection. The visualization loads geographic data from the world-atlas TopoJSON file and converts it to GeoJSON features with the `feature` function. The code uses `d3.geoMercator` and `d3.geoPath` to project the map coordinates and generate the path data.

Ddacoylo

D3 course - World Map

This example displays a world map rendered as an SVG, using a natural Earth projection to show countries, graticules, and a stylized globe with colored landmasses and ocean. It loads GeoJSON data from the world-atlas TopoJSON file, converting it with `feature` and `mesh` from topojson. The visualization uses `d3.geoPath` and `d3.geoNaturalEarth1` for projections, React hooks for data fetching, and CSS to style the map elements.

JJames Rhodes

Let's make a map with D3.js!

This visualization presents a map of geographic regions, with each area rendered as a solid green path outlined in black. The map is drawn using SVG paths generated from GeoJSON data, which is loaded from an external URL. The code employs D3.js version 5 functions such as `d3.json` to fetch the data and `d3.geoPath` to construct the path geometries, while the TopoJSON library's `feature` function is used to process the geographic features. The resulting paths are appended to the SVG canvas with a fixed width and height, and CSS styles define the fill and stroke colors.

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 create a map visualization using D3.js, rendering geographical features as green shapes with black strokes on a blue background. It showcases a basic choropleth-style map by loading GeoJSON data from an external URL and projecting it using the `geoAlbers` projection. The code employs `d3.json` to fetch the data and `d3.geoPath` with the projection to generate SVG paths for each feature, while `topojson.feature` converts the data into GeoJSON format. The visualization is rendered entirely as SVG within an HTML page, making it a simple, self-contained map example.