Create a Map with D3

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.

80% 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.

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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.

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Let's make a Map with D3.js!

This example demonstrates how to build a map visualization using D3.js, rendering geographic data as SVG shapes within a 960×500 viewport. The code initializes an SVG canvas and prepares it for map plotting, likely displaying projected geographical boundaries or regions. It relies on D3 v5, imported via the `select` and `arc` functions from the `d3` module, though the actual geographic path drawing with `d3.geoPath` is not yet implemented in the visible source. The visualization uses a minimal stylesheet with hidden overflow, suggesting a clean, full-bleed map display without surrounding page elements.

Aantoinecarto

Let's make a map with D3.js!

This example generates an orthographic map of world features from a JSON dataset, rendering each geographic feature as a green SVG path with black stroke outlines. The code uses D3.js version 5’s `geoPath` and `geoOrthographic` projections, along with the topojson library’s `feature` function to convert the remote GeoJSON data into drawable paths. The map is displayed in a 900-by-500 pixel SVG element, with the projection offering a globe-like perspective.

Let's make a map with D3.js!

This example demonstrates how to build a map using the D3.js library. It loads GeoJSON data from a file and projects it using the `d3.geo.mercator` projection, with the map centered and scaled to fit the view. The code uses `d3.json` to fetch the data and `d3.geo.path` to generate SVG paths for each feature, styling them as the "zipcode" class. The page includes a YouTube tutorial video in an iframe, and the map is rendered as an SVG element with a blue sphere background.

Ssrrajendran

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.