Cars Report

100%

✓ Published0🌍 Public

Last edited Apr 13, 2020

Created on Apr 13, 2020

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.

AI-generated description

MIT Licensed

Similar vizzes

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

94% match

Loading thumbnail…

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

92% match

Loading thumbnail…

Cars Report

This example displays the make of the first car in a small, hard-coded dataset. It loads a JSON array of five cars, each with a year, make, model, and price, from the `cars` module using `JSON.parse`. The `index.js` file accesses `cars[0].make` and sets the text content of a `<pre>` element with `id="message-element"` in `index.html`, rendering the string “Honda” in large font. The visualization is static and relies on plain JavaScript DOM manipulation, not any charting or animation libraries.

Iirasheed01

92% match

Loading thumbnail…

Cars Report

This example displays the make of the first car in a small JSON dataset, rendering the text "Honda" prominently on the page. The visualization consists of a single static text element, populated by parsing an embedded JSON array with `JSON.parse` and accessing the first object’s `make` property. The code uses the native `document.getElementById` API to set the text content of a `<pre>` element, with no charting or animation libraries involved. The design highlights a minimal, data-driven text output rather than a graphical representation.

JJason-Manbodh

91% match

Loading thumbnail…

Cars Report

A simple visualization displays the make of the first car in a hardcoded JSON dataset as plain text. The page renders the word "Honda" inside two large `<pre>` elements using vanilla JavaScript. The code defines and parses an embedded car dataset with native `JSON.parse` before accessing `cars[0].make` and assigning it to `textContent` for display. The example relies on no external libraries, using only standard DOM methods to update the HTML.

EEmiliano de Jesús Gonzalez Rodriguez

91% match

Loading thumbnail…

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

91% match

Loading thumbnail…

Cars Report

This example displays a single car make, “Honda,” from a hardcoded JSON array of five car records. The visualization reads the first object in the array using `JSON.parse` and assigns it to an exported `cars` variable, then accesses `cars[0].make` to set the text content of a `<pre>` element. It relies on vanilla JavaScript, with no external visualization libraries, and renders the result as plain text in the browser via the DOM API `document.getElementById`. The data source is an embedded static dataset rather than a live feed.

EEmiliano de Jesús Gonzalez Rodriguez

91% match

Loading thumbnail…

Cars Report

This example displays a single car make, “Honda,” from a small JSON dataset of five used cars, rendered as oversized text on a dark, centered page. The visualization uses a plain HTML `<pre>` element and JavaScript to parse the embedded `carsJSON` string, then writes the first record’s `make` property into the page via `document.getElementById`. Styling relies on CSS with the Ubuntu font, while data imports come from the `cars` module and rendering is handled by the browser’s DOM API, with no external visualization libraries.

RRod Potter

91% match