Fork of D3 Starter

100%

Fork of D3 Starter

✓ Published0🌍 Public

Last edited Jun 19, 2023

Created on Jun 19, 2023

This example demonstrates a minimal D3 starter template that renders a collection of rectangles in an SVG. The code uses D3’s `select` and `selectAll` with the data-join pattern to bind an array of generated objects (each with height and width properties) to SVG `rect` elements, positioning them at the origin. It relies on D3 v7, loaded via a CDN, and a `bundle.js` file, while the page also includes an embedded YouTube tutorial. No scales, axes, or interactions are present; it simply shows foundational data-binding and element creation.

AI-generated description

A demonstration of how to start using D3 version 6.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of D3 Starter

This example demonstrates a simple D3.js starter template that creates a vertical series of 100 rectangular bars across the full width of the viewport. The visualization uses D3’s selection and data-join API (`select`, `selectAll`, and `join`) to generate SVG rectangles positioned by their `y` attribute, with each bar spaced 20 pixels apart. The code initializes an empty SVG element within the page body and relies on D3 version 7.8.2, loaded via CDN, to construct the graphic without any external data source.

DDea Bardhoshi

89% match

Loading thumbnail…

Fork of D3 Starter

This example demonstrates a minimal starter template for D3 version 7, rendering a set of basic SVG shapes—two circles and two rectangles—directly onto a 960x500 canvas. The code imports the `select` function from the D3 library and loads the full D3 bundle from an unpkg CDN. Shapes are drawn statically with standard SVG attributes, with the second pair of shapes colored red, while the stylesheet sets the page body to center-aligned text at a massive 13em font size. No interactive or data-driven behavior is present.

Zzakirkhan11

88% match

Loading thumbnail…

Fork of D3 Starter

This example demonstrates a minimal D3.js v7 starter template, rendering an empty SVG canvas that is ready for custom visualizations. The code uses the D3 selection API (`d3.select`) to access the SVG element and reads its `width` and `height` attributes as numeric values. A separate `bundle.js` file is loaded after the main script, though no drawing operations are performed in the visible code. The page is styled with large, centered text and embeds a YouTube tutorial video.

SStolasIn

88% match

Loading thumbnail…

Fork of D3 Starter

This example demonstrates a minimal D3.js starter template, rendering a single empty SVG rectangle on an 800x400 canvas. The visualization shows how to set up a basic D3 project with an HTML5 document structure and inline SVG. The code loads D3 version 7.0.4 from the unpkg CDN and uses JavaScript to define a simple graphic element, providing a foundation for building more complex data visualizations with the D3 framework.

Aanoptic

88% match

Loading thumbnail…

Fork of D3 Starter

This example demonstrates a simple D3.js starter template that renders a grid of rectangles across the full window. The visualization uses nested loops to create SVG groups at regular intervals, with each group containing multiple rectangles positioned vertically. The code imports `select` and `range` from the d3.v7 library and uses data joins with `.join('rect')` to append elements. The page scales text to 13em and includes a YouTube tutorial link, while the JavaScript calculates grid margins based on window dimensions and sets the SVG size to fill the viewport.

JJeppeOEM

87% match

Loading thumbnail…

Fork of D3 Starter

A minimal D3 starter example demonstrates a basic data join by rendering 15 circles across the screen. The code uses `d3.select` and `d3.range` to generate data, then employs `selectAll`, `data`, `enter`, and `append` to create SVG circles with fixed radii. It runs entirely in the browser with a full-window SVG canvas, set against a plain white background. The example highlights the core enter selection pattern in d3 v7, with the bundled JavaScript file containing the import and logic.

Ccaitlin-woods

87% match

Loading thumbnail…

Fork of D3 Starter

This example demonstrates a minimal D3.js v6 starter template that loads JSON event data and renders it as static rectangles. The visualization shows four entries from a local `evenement.json` file, each mapped to a fixed-size `<rect>` element in an SVG container, though no data-driven scaling or positioning is implemented. The code uses D3’s `select`, `json`, and `scaleLinear` APIs to fetch the data and append shapes, with the SVG dimensions read directly from the markup. The rendering approach is basic, serving as a foundational scaffold for further development rather than a finished interactive chart.

BBenoit Estrade

87% match

Loading thumbnail…

Fork of D3 Starter

This example demonstrates a minimal setup for starting a D3 version 7 project, rendering an empty SVG viewport with a green border. The code loads D3 from a CDN and uses `d3.select` to reference the body and SVG elements, though no data is bound or shapes are drawn. It includes a YouTube tutorial link for guidance. The rendering approach is SVG, with the `viewBox` attribute defining a 100-by-100 coordinate system, and the script is split between an HTML file and an external `bundle.js`.

SSteven Jung

87% match