Cars Report

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.

92% match

Cars Report

This example displays a numeric value from a small set of car records, specifically the price of the first car in the dataset. The React application imports a hardcoded JSON array of five vehicles, filters the list to cars under $2000, and formats each car’s year, make, model, and price into a readable string. The final text is rendered into a `<pre>` element on the page using the DOM API `getElementById` and `textContent`. The visualization is minimal, relying on no external charting libraries, only core JavaScript array methods and React’s data handling.

Sshis1011

91% 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.

91% match

Cars Report

This example displays a single car record from a small embedded dataset, showing the year, make, model, and price in a large text element. The code imports a static JSON array of five cars, filters the list to those priced under $2000, and formats each entry into a readable string, but ultimately renders only the first car’s details on the page. It uses the React framework for structure and relies on a simple JavaScript array manipulation with `filter` and `map` to prepare the data, with the result set into the DOM via `document.getElementById().textContent`.

BBrunoPaulo10

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 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.