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@dbidwai·12 public vizzes

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Bar Chart!

This visualization displays a cheerful, cartoonish face rendered in SVG, with a yellow circular head, black eyes, and a curved mouth. The face is constructed entirely with D3 v5’s `select` and `arc` APIs, using static coordinates derived from the SVG’s width and height attributes. Shapes are appended directly to the SVG canvas, with the mouth drawn via the `arc` generator using explicit inner and outer radii and angle values. The example demonstrates basic geometric composition and D3’s shape generation without any data binding or interactivity.

Nov 22, 2020
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Responding to Resize

This example demonstrates how a D3 v5 SVG visualization can dynamically respond to browser window resizing. It draws a large green X spanning the full viewport, with the chart container filling the page via fixed CSS positioning. The `redraw` function reads the container’s `clientWidth` and `clientHeight` to update the SVG’s width and height attributes, then repositions two `<line>` elements using a data join. A `window` resize event listener triggers `redraw` on every size change, ensuring the graphic always matches the available space.

Nov 22, 2020
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Responding to Resize

This example demonstrates how a D3.js visualization can dynamically adjust to fit its container. It draws a large green X composed of two diagonal lines that stretch from corner to corner, with the SVG element’s width and height updated to match the chart div’s client dimensions. The code uses `d3.select` and `selection.attr` to resize the SVG, and a `window.addEventListener("resize", redraw)` function to trigger the redraw. The rendering approach is SVG, with the chart container styled via CSS to fill the entire viewport.

Nov 22, 2020
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Cars Report

This example demonstrates a JavaScript tutorial that asynchronously fetches car data and generates a text report. It shows how to use objects, arrays, and ES modules to parse JSON, filter cars by price, and format output strings. The code uses `getCars()` with a Promise and `setTimeout` to simulate a delay, then applies `generateReport` with `filter`, `map`, and `join` to display a list of cars under $2,000. The message element in the HTML updates from "Loading..." to the final report.

Nov 22, 2020
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Let's make a face with D3.js!

A smiling face built from basic SVG shapes shows how D3.js v5 can assemble a figure from primitives. The code uses `d3.select` to append a yellow circle for the head, black circles for eyes, and a mouth drawn with the `d3.arc` path generator using specified inner and outer radii plus start and end angles. Positioning relies on the SVG width and height attributes read from the DOM, with the mouth placed inside a transformed `<g>` group. The example demonstrates simple attribute chaining and coordinate math for a playful default output.

Nov 21, 2020
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Let's make a face with D3.js!

A yellow smiley face is drawn on an SVG canvas using D3.js, with two eyes, eyebrows, and a mouth created via basic shapes and an arc path. The entire face is centered with a group translation, and the eyebrows animate upward and back down over four seconds using chained `transition` calls. The code imports `select` and `arc` from D3 v5, sets circle, rectangle, and path attributes programmatically, and relies on SVG for rendering.

Nov 21, 2020
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HTML Cars Reports

A static HTML report lists three used cars with model year, make, model, and price, presented in a bulleted list under a “Hello” heading. The example demonstrates a minimal React starter structure, linking an external stylesheet (`styles.css`) that sets the base font size to 2em. It does not include dynamic data binding or charting; instead, it relies on plain HTML markup within the React project’s `index.html` entry point. The data source is hardcoded inline, with no framework-specific rendering or state management visible in the provided files.

Nov 21, 2020
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React Starter

This example demonstrates a minimal setup for using React to render a single, large text message. It displays "Hello World" as static text, centered on the page. The application is built using the React and ReactDOM libraries, which handle the component rendering and DOM updates. All the styling, including the font size and text alignment, is applied through CSS. The React components are compiled into a `bundle.js` file, which is loaded by the browser to render the message dynamically. The example highlights the basic structure of a React application without any interactive or data-driven features.

Nov 21, 2020
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Cars Report

This example displays the year of the first car in a static JSON dataset, showing a single text value in large type. It imports car data from a local `cars.js` module and writes the `cars[0].year` property to a `<pre>` element using the DOM API `document.getElementById` and `textContent`. The visualization is built with React and renders through a simple HTML page that loads a bundled script. No charting or interaction logic is present; it demonstrates basic data access and text output in a minimal report format.

Nov 21, 2020
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HTML Starter

This example shows the most minimal possible web page, rendering the text “Hello” in large centered type using CSS. It demonstrates the foundational structure of an HTML document with embedded style and script tags, while the JavaScript logs “Hello JavaScript!” to the browser’s console. The page uses no external libraries, relying only on native HTML, CSS, and the browser’s Console API.

Nov 21, 2020
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HTML Starter

This example demonstrates a minimal HTML page that displays the text “Hello HTML” and logs “Hello JavaScript!” to the browser console. The page uses plain CSS for styling, setting the body’s text alignment and font size, and includes a script block for JavaScript execution. No external libraries or frameworks are used; it relies solely on the native DOM and console API. The code serves as a bare-bones starting point for web development, illustrating basic integration of markup, styling, and scripting.

Nov 21, 2020
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Cars Report

This example demonstrates a JavaScript tutorial that asynchronously fetches car data and generates a text report. It shows how to use objects, arrays, and ES modules to parse JSON, filter cars by price, and format output strings. The code uses `getCars()` with a Promise and `setTimeout` to simulate a delay, then applies `generateReport` with `filter`, `map`, and `join` to display a list of cars under $2,000. The message element in the HTML updates from "Loading..." to the final report.

Nov 21, 2020