Cars Report

100%

✓ Published1🌍 Public

Last edited Sep 9, 2020

Created on Sep 8, 2020

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.

AI-generated description

A demonstration of how to start using D3 version 6.

MIT Licensed

Similar vizzes

Loading thumbnail…

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

93% match

Loading thumbnail…

Cars Report

This example displays the make of the first car in a hardcoded JSON array of five vehicles, showing a simple text report. The page renders the message "Honda" in large, centered text within an HTML `<pre>` element. The visualization uses JavaScript to import the car data from a separate `cars.js` module, parse it as JSON, and assign the first record's make to the message element via the Document Object Model’s `getElementById` method. It demonstrates basic data handling and page updating without any charting library.

NNatália

93% match

Loading thumbnail…

Cars Report

This visualization displays a plain-text report of car data stored in a JavaScript array of objects. The report extracts the first car's make—Honda—and writes it into an HTML element, showing a minimal example of data access and DOM manipulation. The data originates from an embedded JSON string in the cars.js file, and the code uses the native `JSON.parse` method to convert it into a usable array. The example relies on the D3 library (version 5) loaded via its standard CDN, though it primarily demonstrates basic JavaScript object destructuring and the `textContent` property for updating the interface.

AArcy Flores

92% match

Loading thumbnail…

Cars report

This example displays a one-word report, “Honda,” pulled from a hardcoded JSON dataset of five cars stored in `cars.js`. The page renders the first car’s make in large, styled text on a dark blue background. The code imports the parsed `cars` array and uses `document.getElementById` to set the text content of a `<pre>` element. Styling relies on CSS with a Google Fonts import, while D3 v5 is loaded via CDN but not used for visualization.

AAsperge-Atomique

92% match

Loading thumbnail…

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

92% match

Loading thumbnail…

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

92% match

Loading thumbnail…

Cars Report

This example displays the make of the first car in a hard-coded five-record dataset. The report presents the text “Honda” in a large <pre> element on a blank page. It imports the parsed `cars` array from a separate module, accesses its first object, and writes the `make` value to the DOM via `textContent`. The visualization relies on plain JavaScript and the `JSON.parse` API, with no external charting libraries.

Jjoalvarenga53

92% match

Loading thumbnail…

Cars Report

This example displays a single car make, “Honda,” pulled from a hardcoded JSON array of five vehicle entries (year, make, model, price) defined in `cars.js` and parsed with `JSON.parse`. The code uses plain JavaScript to select an element by ID via `document.getElementById` and writes the text content to the page. No D3 version 6 APIs or visual elements are employed; the demonstration focuses on importing an ES module and manipulating the DOM directly.

Ttssytrack

92% match