Cars Report

Cars Report

This example displays the make of the first car in a hardcoded JSON dataset, rendering “Honda” in large, centered text on a dark background. It showcases a minimal setup where an ES6 module exports parsed car data, and the main script updates the DOM element’s text content directly. The page uses plain JavaScript with a custom stylesheet for typography, demonstrating a simple data-to-display pipeline without external visualization libraries.

Lliechtia

Cars Report

This example displays the make of the first car in a hardcoded dataset, rendering the word "Honda" prominently on a dark, styled page. It loads a JSON array of car records via JavaScript’s `JSON.parse` and uses a simple DOM `textContent` assignment to update a `<pre>` element. The page’s visual design relies on an imported Google font (Ubuntu) and CSS for large, centered text. No interactive or charting library is used, focusing instead on minimal data extraction and static presentation.

RRod Potter

Cars Report

This example displays the make of the first car in a small JSON dataset of five vehicles, rendering it as large text on a blank page. It imports the parsed car data from the `cars.js` module, then uses `document.getElementById` and `textContent` to update the message element with the value `"Honda"`. The visualization is minimal, demonstrating ES6 module imports and basic DOM manipulation with no external libraries.

DDvdscot

Cars Report

This example displays the make of the first car from a hardcoded JSON dataset, rendered as large text on a page. It shows how to import and parse data from an ES6 module (`cars.js`) and update the DOM via `document.getElementById` and `textContent`. The styling uses Google Fonts' Ubuntu and a dark blue background via CSS. No external visualization library is used; the example relies solely on core JavaScript and the browser's DOM API.

RRashmi000

Cars Report

This example depicts a minimal cars report, displaying the make of the first vehicle from a hardcoded JSON array. A pre-formatted element renders the text "Honda" at a large font size. The implementation imports the parsed car data from a separate `cars.js` module, then uses the standard Document Object Model (DOM) API—specifically `document.getElementById` and `textContent`—to update the page. The visualization relies on D3 version 6 for data handling, though the core output is a simple text readout of the data.

AAndrew

Cars Report

This example displays a single car record from a small inline JSON dataset, showing the make, model, year, and price of a 1997 Honda Accord. The page uses ES6 modules to import and parse the data array, then writes the first object’s contents to a styled `<pre>` element via `document.getElementById`. The visual result is large, bright text on a dark blue background, styled with Ubuntu from Google Fonts, demonstrating simple DOM manipulation without any charting or visualization libraries.

Aapiask18

Cars Report

This example shows a single data point from a small built-in dataset of used cars, displaying the make of the first car ("Honda") in large text on a webpage. It demonstrates a minimal data-to-DOM pipeline: a hardcoded JSON array in `cars.js` is parsed into a JavaScript array using `JSON.parse`, then imported via ES modules into `index.js`. The code selects an HTML element by ID with `document.getElementById` and sets its `textContent` to the value. No external visualization libraries are used; the rendering relies entirely on plain JavaScript and static HTML.

Aaudreyfr

Cars Report

This example renders the first car in a small static dataset to the page. It displays the make of the first car, “Honda,” as large text in a pre element. The data is defined as a JSON string in `cars.js`, parsed with `JSON.parse`, and imported into `index.js`. The page uses plain JavaScript to update the `textContent` of a selected DOM element by its ID, with no additional visualization libraries.

BBrandon Da Silva