OrangTang

@OrangTang·4 public vizzes

Let's make a face with D3.js!

This example demonstrates fundamental DOM manipulation with D3.js by building an animated smiley face. The visualization shows a yellow circle with eyes, eyebrows, and a mouth, where the eyebrows perform a continuous up-and-down movement. The code uses D3’s `select` and `append` to construct SVG elements, and `transition().duration()` to animate the eyebrow group’s `transform` attribute over 2000-millisecond intervals. The mouth is drawn with a `d3.arc` path generator, while hardcoded constants control facial feature positioning and spacing. The rendering is entirely SVG-based, with static input values defining the geometry.

Nov 8, 2020

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Cars Report

A static SVG report on car-related data presents two overlapping circles and a small vertical rectangle atop a plain background. The shapes are drawn directly in the HTML markup using native SVG elements (`circle` and `rect`), with one circle filled red and the other left transparent. The stylesheet applies a monospace font and hides body margins, though no interactive behavior or dynamic data binding is present. The visualization is authored by OrangTang and refers to a v3 data source, though the chart encodes no visible dataset values or axes.

Nov 8, 2020

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Cars Report

This example demonstrates the use of JavaScript objects, arrays, and ES modules to generate a text-based report of used cars. It shows a list of car models with their year, make, model, and price, filtered to include only cars under a given price threshold. The code employs `JSON.parse` to load car data, `Array.filter` and `Array.map` to process it, and a Promise-based `getCars` function with `setTimeout` to simulate asynchronous loading. The final report is rendered into an HTML `<pre>` element.

Oct 13, 2020

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Cars Report

This example demonstrates a JavaScript tutorial that asynchronously loads car data, filters it by price, and displays a formatted text report in the browser. It shows how to structure code using ES6 modules with `export` and `import` statements, and how `JSON.parse` converts embedded JSON data from the `getCars.js` file. The visualization relies on `Promise` and `setTimeout` to simulate a delayed API response, and `document.getElementById` to update the page’s `<pre>` element with the final list of cars priced under $2,000. The user interface is minimal, consisting only of text output.

Oct 13, 2020