Cars Report

Cars report

This example shows a simple data report of five used cars, displaying their make, model, year, and price in a static JSON dataset. The page renders a large red greeting message and a heading, while the JavaScript sets the message element’s text content to the second car’s make, “Nissan,” using the DOM API `document.getElementByID` and `textcontent`. The data is parsed with `JSON.parse` and imported from a separate module, but no charting or visualization library is used.

Bb-g-h

Cars Report

This example demonstrates how to display a static car report in a web page. It parses an embedded JSON array of car objects, each containing year, make, model, and price, into a JavaScript array using `JSON.parse`. The code imports this data from `cars.js` and writes a simple text message to the DOM using `document.getElementById` and `textContent`. The visualization is minimal, showing only the string 'hello' in large preformatted text, with no chart or graphical rendering.

Sshaukat-abidi

Cars Report

This example displays the title "Cars Report" over a dataset of five used cars. The visualization loads car records containing make, model, year, and price from a JSON string defined in `cars.js`, parsing it with `JSON.parse`. The page renders a large “Hello” message via JavaScript DOM manipulation, setting the text content of a `pre` element using `document.getElementById`. The interface uses CSS customizations, including the Ubuntu font from Google Fonts and a dark blue background.

DDjan Magno

Cars Report

This example displays the make of the first car in a small static dataset, rendered as large text on a blank page. The code imports a hardcoded JSON array of five car records containing year, make, model, and price, then uses `document.getElementById` and `textContent` to inject the value into a `<pre>` element. No interactive or charting libraries are involved; the visualization relies solely on DOM manipulation to show a single data point.

PPallabi Dutta Bose

Cars Report

This example displays a report of car makes, showing the first make from a static JSON dataset in a large-text HTML element. The visualization imports car data defined in a `cars.js` module, parses it with `JSON.parse`, and writes the result to the DOM via `getElementById` and `textContent`. It uses plain JavaScript with ES modules, no external libraries, and relies on a simple `pre` element for styled text output.

HHombreLobotomia

Cars Report

This example displays a static report of five used cars, showing each vehicle’s year, make, model, and price. It renders the data by parsing a JSON string embedded in the `cars.js` module with `JSON.parse`, then assigns a simple greeting message to a DOM element using `document.getElementById`. The visualization relies on React for its component framework and outputs the plain text message to a `<pre>` element in the HTML, demonstrating a minimal data-driven setup without interactive charts or graphics.

PPhilippe Bonnet Doring

Cars Report

This example presents a static report titled “Cars Report” that displays the text “Hello-World” centered in the browser. The underlying car dataset, defined as an array of objects with fields for name, maker, and price, is serialized and parsed via `JSON.stringify` and `JSON.parse` in `cars.js`. The visualization itself uses the React framework, though the visible output relies on the DOM API `document.getElementById` to set the text content of a `<pre>` element, with the page styled through inline CSS.

Jjoaoigorandrade

Cars Report

This example displays a simple text report of cars, showing each vehicle's year, make, model, and price. It loads a static JSON dataset with a simulated delay, then filters and formats the results into a list. The code uses a JavaScript Promise for asynchronous data retrieval, an ES6 module for data formatting, and the DOM API to update the page's content directly. No external visualization libraries are used; the output is plain text presented in a large font.

Yyoghurtx