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 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.

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 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.

DDea Bardhoshi

89% match

Loading thumbnail…

Fork of D3 Starter

This example displays a simple bar chart constructed from a fixed JavaScript array of 25 numeric values. It demonstrates a minimal setup for D3 version 7 by using the d3.select and d3.append functions to create an SVG canvas, then the selectAll and data methods to generate rectangles for each data point. The bars are positioned horizontally with a fixed spacing and height proportional to each value, showing basic data binding and SVG rendering without any interaction or animation.

KKoundinya

87% match

Loading thumbnail…

Fork of D3 Starter

This example demonstrates a minimal D3 v7 bar chart, displaying a static dataset of five values as vertical rectangles. The visualization shows how to bind data to SVG elements and map data values to visual properties. The chart is rendered in an SVG container using D3's selection, data-join, and attribute methods, including `selectAll`, `data`, `enter`, `append`, and `attr`. The code also sets the page text to "Hello D3 version 7" via the `select` function, while the chart dimensions and padding are defined as constants.

RRidaHwn

87% match

Loading thumbnail…

Fork of D3 Starter

A dynamic bar chart animates ten rectangles across the screen using D3 v7. The bars scale in height and width based on their index, with positions computed from the data values. The code selects the body, appends an SVG sized to the window, and uses `d3.range` to generate the dataset. Each rectangle’s position and size are set with attribute functions, creating a diagonal, staggered layout with light-blue fills.

Fferneyhoughedward@gmail.com

86% match

Loading thumbnail…

Fork of D3 Starter

This example demonstrates a simple bar chart built with D3 version 6. The visualization starts with a blank page and generates a series of vertical midnight blue bars whose heights are determined by random values multiplied by a fixed scale. The code uses `d3.range` to generate a data set from 5 to 29, then applies the `d3.select('body')` and `.selectAll('div')` API to dynamically append bar elements to the HTML document. Each bar's height is set via the `.style('height', ...)` method, with inline styling producing varied bar lengths. The example serves as a minimal starter template for understanding D3's declarative approach to building DOM-based visualizations from scratch.

DDasbach.EJ

86% match

Loading thumbnail…

D3 Starter-episode 04

This example demonstrates a basic D3.js bar-like visualization of 100 horizontal rectangles stacked vertically, each with a height of 10 pixels and width matching the viewport. The code uses `d3.select`, `d3.range`, and the `join` pattern to bind data to SVG `rect` elements, spacing them at 20-pixel intervals. It renders quickly to show the minimal setup for D3 version 6, with styling from a large body font size. The visualization is purely layout-driven, using no external data source or interaction.

Mmaxthamt

86% 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

85% 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

83% match