Cars Report

100%

✓ Published1🌍 Public

Last edited Aug 26, 2019

Created on Aug 26, 2019

This example displays the make of the fourth car in a hardcoded JSON dataset, rendering the text "Mercedes" in large, styled font on a dark background. The data is parsed using `JSON.parse` within a `cars` module, and the result is injected into a `<pre>` element via `document.getElementById` and `textContent`. Styling relies on CSS, including a Google Fonts import for Ubuntu, while the page structure uses a minimal HTML template. The visualization demonstrates basic data extraction and DOM manipulation without additional libraries.

AI-generated description

An example showing the capabilities of VizHub.

MIT Licensed

Similar vizzes

Loading thumbnail…

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

90% match

Loading thumbnail…

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

89% match

Loading thumbnail…

Cars Report

This example displays a single car make from a small static dataset of four vehicles. The code imports car data from a JSON array via an ES6 module and uses `document.getElementById` to update the text content of a `<pre>` element. The page applies a custom Ubuntu font and bold styling through CSS, and the bundled script runs in the browser from `bundle.js`. The visualization shows only the first car’s make, "Honda," without any charts or interactive elements.

Mmartiguesc

89% match

Loading thumbnail…

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.

Cclara6

89% match

Loading thumbnail…

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.

Cclara6

89% match

Loading thumbnail…

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

89% match

Loading thumbnail…

Cars Report

This example displays the make of the first car in a hardcoded dataset of four vehicles, rendered as large text on the page. It imports car data from a separate module using ES6 syntax, parses a JSON string with `JSON.parse`, and accesses the `make` property of the first object. The result is written into a `pre` element via `document.getElementById` and `textContent`, using a minimal D3 v5 setup with no visualization or animation.

AAnthony-coding

88% match

Loading thumbnail…

Cars Report

This example displays a cars report by reading the first entry’s make from an embedded JSON dataset and rendering it as large text on a dark, styled page. It uses a pre-formatted `<pre>` element to show “Nissan,” with the text updated via the `Document.getElementById` API. The visualization demonstrates basic data import and DOM manipulation through ES6 modules, importing `cars` from a local module and applying global CSS with the Google Fonts Ubuntu typeface.

YYilmazSalman

88% match