Car Prices

Car Prices

This example displays car price information for a small dataset of five vehicles. It shows the raw data entries including make, model, year, and price, but does not render a chart or visualization. The page uses React to import car data from a dedicated JavaScript module, then dynamically sets an HTML heading element’s text content to a static “Hello world” message. The code utilizes standard DOM manipulation via `document.getElementById` and text content assignment, with no additional visualization libraries or rendering techniques applied.

AAhmed Negm

89% match

Cars Report

This example displays a static list of car records, including make, model, year, and price, rendered as plain text in a React application. The data is defined in a `cars.js` module as a JSON string and parsed into a JavaScript array. The visualization uses React 16.10, loaded via UMD scripts, to mount components, while `index.js` updates a separate `pre` element by setting its `textContent` to a message variable. No charting or simulation library is used; the output is purely textual and non-interactive.

Eencylin

86% match

Cars Report

This example presents a small dataset of five cars, showing each vehicle’s make, model, year, and price as static JSON parsed into a JavaScript array. The visualization renders the price of the second car directly into a page element using React’s component model. The code uses the native `JSON.parse` method via an imported `cars` module and updates the DOM through `document.getElementById().textContent`. A second hardcoded message also replaces text in another element, demonstrating simple state changes without interactive charts or graphs.

86% match

Cars Report

This example displays a hardcoded array of car records with make, model, year, and price fields parsed from JSON. The page shows two text elements whose content is set via JavaScript, with one message updated through inline script and the other through an imported module. The visualization uses native DOM APIs like `document.getElementById` and `textContent` to modify the HTML, while the React framework handles component structure. The data remains static, with no interactive or graphical rendering beyond basic text updates.

86% match

Cars Report

This example displays a small dataset of five cars, showing their make, model, year, and price. The page updates two text elements with hardcoded messages, one using inline JavaScript in the HTML and the other via a React entry point that imports the car data from a separate module. The visualization uses `JSON.parse` on a string literal to form the data array, and demonstrates basic DOM text replacement through `document.getElementById` and `textContent`. No charts or graphical rendering are shown; it focuses on reactive text content.

Cars Report

This example presents a small dataset of five used cars, each with its make, model, year, and price, imported from a JSON string in `cars.js`. The page displays a single car’s price inside a large `<pre>` element. The visualization, built with React and vanilla JavaScript, uses `document.getElementById` to inject the numeric value into the HTML container, while another script sets static text on a second element. It demonstrates basic DOM manipulation and JSON parsing without any charting library.

Cars report

This example displays a car report using static JSON data embedded in `cars.js`. The page renders the first car’s price into an `h1` header via React’s `textContent` assignment, with the data parsed using `JSON.parse`. The visualization is minimal, showing only a single numeric value on a grey background, styled by `style.css`. It does not include charts, graphs, or interactive elements, focusing instead on a simple data-to-text output.

Eedmond gihozo

Cars Report

This example displays the price of the second car in a small static dataset, rendering the numeric value as large text on an HTML page. It imports car records from a separate module, accesses `cars[1].price`, and writes the result into the DOM via `document.getElementById` and `textContent`. The data consists of five car objects with make, model, year, and price fields, embedded as JSON and parsed with `JSON.parse`. The visualization uses no charting library, relying solely on plain JavaScript and React’s ecosystem, with the page structure defined in `index.html` and a pre-rendered bundle.

Sshis1011