Cars Report

Cars Report

This example displays a simple text report from an array of car data, showing the make of the first car, a Honda, in a large `<pre>` element. The visualization loads D3 v5 and uses a static JSON dataset defined in `cars.js`, which is parsed with `JSON.parse`. The main logic in `index.js` imports the `cars` array and sets the text content of the HTML element via `document.getElementById`. It demonstrates basic data import and DOM manipulation without requiring any D3 data-joining or scales.

Ggpfstuff

Cars Report

Cars Report displays the make of the first car in a hardcoded JSON dataset by rendering it as large text in the browser. The example demonstrates a minimal D3 version 6 setup, importing car data from a separate `cars.js` module and using `JSON.parse` and `JSON.stringify` to handle the data. The `index.js` file accesses the `make` property and writes it to a DOM element via `textContent`, while `index.html` provides the page structure and loads the bundled script.

DDaniel Walder

Cars Reports

This example displays the name of the first car in a static JSON dataset, rendered as a large text message in a web page. The data is defined in a local ES6 module (`cars.js`) using a JSON string that is parsed into an array, and the entry point `index.js` imports it to update a DOM element’s text content. The visualization uses no D3 or external libraries—only plain JavaScript with `document.getElementById` to manipulate the HTML, styled by `styles.css` for centered, large typography. It demonstrates basic module imports and DOM scripting within a VizHub project.

NNehaGawri

Cars Report

This example displays the make of the first car in a hardcoded JSON dataset as a large text message on a web page. The data, defined in a local `cars.js` ES6 module, contains three car records with year, make, and price fields. The visualization imports this data using the `import` statement and uses standard JavaScript DOM manipulation to set the text content of the `#message-element` HTML element. The page loads D3 version 5 from a CDN, though the visible code does not call any D3 functions.

MMartin Casey

Cars Report

This example renders a static text message inside an HTML page using a preformatted element. It loads car data from a local JSON array containing five vehicles with attributes like year, make, model, and price, but the displayed output simply shows the string “Hello World” via `document.getElementById().textContent`. The code uses no visualization libraries or rendering APIs; instead, it relies on basic DOM manipulation. The data source is defined in a separate module that parses the JSON string with `JSON.parse`, though the visualization itself does not yet incorporate that data.

DDanteStack

Cars Report

This example demonstrates how to display a static car report in a web page. It parses an embedded JSON array of car objects, each containing year, make, model, and price, into a JavaScript array using `JSON.parse`. The code imports this data from `cars.js` and writes a simple text message to the DOM using `document.getElementById` and `textContent`. The visualization is minimal, showing only the string 'hello' in large preformatted text, with no chart or graphical rendering.

Sshaukat-abidi

Cars Report

This example displays the make of the first car in a hardcoded dataset, rendering it as large text in an HTML `<pre>` element. It demonstrates loading D3 via UNPKG, though the primary functionality uses local ES6 modules: `cars.js` exports parsed JSON data, and `index.js` imports it to update the DOM through `document.getElementById`. The visualization is minimal, showing a single string value rather than a chart, with styling provided by an external `styles.css` and inline font-size attributes.

YYumpman

Cars Report

This example demonstrates a minimal D3 version 6 setup that renders a static text message, “Hello World,” into an HTML page. The code imports a small dataset of car records from `cars.js`, though the data is not currently visualized or bound to any graphical element. The page structure uses a `<pre>` element with large font sizing to display the message, and the logic lives in `index.js`, which assigns text via `document.getElementById`. The visualization relies on standard DOM manipulation rather than D3’s data-join or layout APIs, serving as a starting point for building more complex charts.

Vvasgat