Cars report

Cars report

This example displays the make of the first car in a small static dataset. It parses an embedded JSON string using `JSON.parse`, then renders the text `Honda` into an HTML `<pre>` element via the Document Object Model’s `textContent`. The page style uses an imported Google Font and CSS for a high-contrast presentation.

VVarun Khanna

93% match

Cars report

This example renders a single car make from a hardcoded JSON array onto a webpage using plain JavaScript and the DOM API. It displays the text “honda” at a large font size against a dark blue background, styled with an imported Ubuntu font from Google Fonts. The data is parsed via `JSON.parse` and accessed through array indexing, with the result written to a `pre` element using `textContent`. No external visualization libraries are used.

Cars report

This example shows a minimal cars report that displays the make of the first car in a dataset. The page renders “honda” in large, styled text on a dark blue background using the Ubuntu font. The code imports a static JSON array from `cars.js`, accesses `cars[0].make`, and updates the text content of a `pre` element via `document.getElementById`. Styling is handled through an external Google Fonts import in `styles.css`.

Cars report

Cars Report

This example displays the make of the first car in a small, hardcoded JSON dataset. The code defines an array of car objects in `cars.js`, parses it with `JSON.parse`, and then uses DOM manipulation via `document.getElementById` to insert that value into a `<pre>` element. The page uses an external Google Fonts stylesheet and a dark blue, centered text layout, with the displayed message rendered at a very large font size.

PPrasad Saodekar

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 hardcoded JSON array as large text on a webpage. The code imports the car data from a `cars.js` module, parses it with `JSON.parse`, and uses vanilla JavaScript to set the `textContent` of a `<pre>` element. Styling applies a custom Ubuntu font and a dark blue background via CSS, with no external visualization libraries involved.