SVG Demo

100%

✓ Published0🌍 Public

Last edited May 31, 2020

Created on May 31, 2020

Forked from SVG Demo

This demo displays a minimal SVG visualization: a single D3 axis rendered inside an SVG element. The axis is created from a two-value data array, with a linear scale using the extent of the data and a bottom-oriented axis. The code uses d3.scaleLinear, d3.extent, and d3.axisBottom, and calls the axis with a D3 selection. The scale’s domain is normalized with .nice(), and the axis is placed in a group with a transform offset. The bundle.js file contains the compiled index.js, which imports these D3 v5 functions directly.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

D3 axis example

This example shows a simple linear axis created with D3.js version 7.8.5, rendered as SVG. A linear scale maps a domain of 0 to 10 to a pixel range of 400, and a bottom-oriented axis is generated using `d3.axisBottom()` and applied to an SVG group with the `.call()` method. The visualization demonstrates the basic workflow of defining a scale, constructing an axis, and attaching it to the DOM.

AAxVa 🐍 💪

80% match

Loading thumbnail…

D3: A simple, unstyled axis

This example demonstrates a basic scatterplot rendered as an SVG, with red data-point labels and axes that adopt a default, unstyled appearance. Using D3 v4, the code loads a hardcoded array of coordinate pairs and applies linear scales to map the data to a 500-by-300-pixel drawing area. The `d3.axisBottom` and `d3.axisLeft` functions generate the x- and y-axes, while circles are placed and labeled via D3’s `selectAll` and `append` chain. Data is presented without any custom styling rules, highlighting raw axis output.

深深度碎片

78% match

Loading thumbnail…

D3.js!

This example presents a blank SVG canvas with dimensions of 960 by 500 pixels, created to demonstrate a basic D3.js setup. The visualization renders nothing visible, as the code selects the `svg` element using `d3.select` but does not draw any marks. It loads data through the `d3.csv` import and relies on D3 v5.9.2, all within a minimal HTML page that links external styles and a bundled script. The rendering is purely SVG-based, with no additional graphical output shown.

SSerjoA

77% match

Loading thumbnail…

D3 - Axes

This example demonstrates how D3’s axis components render tick marks and labels for a linear scale. Four separate axes—left, right, top, and bottom—are drawn inside an SVG container, all sharing the same `d3.scaleLinear` domain of 0 to 100 mapped to a 400-pixel range. The code uses `d3.axisLeft`, `d3.axisRight`, `d3.axisTop`, and `d3.axisBottom` to generate the axes, then attaches each to a corresponding `<g>` group using `selection.call`. The visualization highlights the standard D3 approach for orienting axes around a plot area.

SSubhendu Karmakar

77% match

Loading thumbnail…

SVG

This example demonstrates how to create an SVG visualization using D3 v6's selection API to append elements directly to the DOM. The code shows a minimal setup with a 960x500 SVG canvas, using `d3.select` and `selection.attr` methods. Commented-out code illustrates an alternative approach using native DOM methods like `createElementNS` for manual SVG construction, including a mask element and rectangles. The current active code simply creates an empty SVG, while the commented section reveals a potential pattern for applying masks to shapes within the SVG namespace.

WWater.Danlei

76% match

Loading thumbnail…

Learning D3

This example demonstrates a minimal SVG visualization composed of three horizontal lines, each drawn as a black path across a 960-by-500 viewport. The code uses static path elements with explicit coordinates, showing how basic shapes can be rendered without additional data or interaction. It incorporates an inline SVG in HTML with CSS and JavaScript, serving as a starting point for learning D3. The visualization relies solely on predefined path data, not on D3’s data-binding or scale APIs.

Bbetemaujkardi

76% match

Loading thumbnail…

SVG Demo

This example demonstrates basic Scalable Vector Graphics (SVG) shapes, including circles, rectangles, lines, and paths, rendered directly in an HTML page. The visualization uses inline SVG elements within an `index.html` file, with styling applied via an external `styles.css` stylesheet. The SVG canvas is scaled and translated using SVG transform attributes, while CSS classes like `.lines` and `.c3` control stroke colors, widths, and fill properties for grouped elements. The code highlights how SVG’s native coordinate system and CSS cascading rules combine to define a static, vector-based graphic.

GGabrz

76% match

Loading thumbnail…

D3 Scale Function PRactice

This example demonstrates D3 scale functions by mapping a small array of numeric values to positions along an SVG axis. It renders circles and labels on a horizontal line using a linear scale, then displays the corresponding axis with `d3.axisBottom`. The code imports a custom `getScale` utility from `utils.js` that switches between D3’s scale types—including `scaleLinear`, `scaleSqrt`, `scaleLog`, and others—although only the linear scale is actively applied. The visualization uses SVG rendering with a fixed 960×500 canvas and D3 v7 via `bundle.js`.

SSubhendu Karmakar

76% match