Cars report

Cars Report

This example displays the make of the first car in a hardcoded JSON dataset, rendering it as large, styled text on a dark background. It loads an array of five car objects from `cars.js`, parses the JSON, and uses vanilla JavaScript to set the text content of a `<pre>` element via `document.getElementById`. The page’s styling comes from CSS, including the Ubuntu font, a navy background, and centered, 12em font size. No external visualization libraries are used; the focus is on a minimal DOM update.

Iimregan

94% 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.

94% match

Cars Reports

This example displays the make of the first car in a hardcoded JSON array, referenced from a separate cars module and rendered as plain text inside a `<pre>` element. The data, which includes fields like year, make, model, and price, is defined directly in the JavaScript source as a string and then converted using `JSON.parse`. The page links to an external stylesheet for Ubuntu font styling and relies on ES6 module imports to load the car data. The visualization itself does not include charts or graphical output.

DDimitra Mazaraki

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 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 demonstrates how to display a car make from a static JSON dataset. The visualization imports a small array of car objects, accesses the first entry’s make property, and renders that text into a large HTML pre element. The page uses a custom Google Font and a dark blue background via CSS. The code relies on the cars module’s exported parsed JSON and manipulates the DOM with vanilla JavaScript through document.getElementById.

92% match

Cars report

This example displays the make of the first car in a hardcoded JSON array. It uses a simple DOM API, `document.getElementById`, to insert the text "honda" into a preformatted element. The data is parsed with `JSON.parse` and styled with custom CSS, including a Google Fonts import, on a dark background.