Cars Report

100%

✓ Published1🌍 Public

Last edited Oct 11, 2020

Created on Oct 11, 2020

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.

AI-generated description

A bare minimum HTML page.

Similar vizzes

Loading thumbnail…

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

92% match

Loading thumbnail…

Cars Report

This example displays a text-based report of used cars, showing five entries with their year, make, model, and price. It demonstrates data filtering and formatting by selecting vehicles priced under $2,000 and converting each record into a readable string. The code uses the `cars.js` module, which parses a JSON array of car data, and React renders the result into a large `<pre>` element via `document.getElementById` and the `textContent` property. The visualization highlights a single selected car’s details while illustrating how static JSON data can be transformed and presented in a simple web interface.

JJulia

91% match

Loading thumbnail…

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.

Ddescarmendel

91% match

Loading thumbnail…

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

91% match

Loading thumbnail…

Cars Report

This example displays a list of cars with their year, make, model, and price, filtered to show only those under $2000. The data comes from a static JavaScript array parsed with `JSON.parse` inside a cars module. The interface is a basic HTML page with a `<pre>` element, styled via CSS, and rendered using React. The code imports the cars array, applies a filter and map to format each entry, and then updates the page’s text content via `document.getElementById`. The visualization is minimal, focusing on text output rather than charts or graphics.

Wwisdomseal

91% match

Loading thumbnail…

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.

Ddescarmendel

91% match

Loading thumbnail…

Cars Report

This example displays a plain-text report of cars priced under $2000, listing each vehicle’s year, make, model, and price in a large `<pre>` element. It imports a static JSON dataset from `cars.js` using the `cars` export, then filters and formats the data with JavaScript array methods `filter`, `map`, and `join`. The result is written directly to the DOM via `document.getElementById().textContent`, with no external visualization library. The page uses a minimal React starter structure, though the current logic relies solely on vanilla JavaScript.

AAishwaryaJayaram

91% match

Loading thumbnail…

Cars report

This example displays a formatted text report of cars priced under $5,000, listing each vehicle’s year, make, model, and price on a separate line. The React-based page renders the report into a large `<pre>` element using a simple string transformation. The code parses car data from an embedded JSON array in `cars.js` and `index.js`, then applies a filtering and mapping pipeline with `Array.filter` and `Array.map` to produce the final message. The visualization relies on React 16.13.1 for the UI base, while the report content is updated directly via `document.getElementById` to inject text into the DOM.

AArtem Bykov

91% match