Skip to main content
SimilarExport ZIP
100%

Cars Report

✓ Published0🌍 Public
KKaavya Lakshmanan
Last edited Jan 9, 2020
Created on Jan 9, 2020
Forked from HTML Starter

This example shows a formatted text report of cars filtered by price. It displays a loading message, then fetches a hardcoded JSON dataset of five cars via a simulated network request using Promises. The report lists each car’s year, make, model, and price for those under $2,000, generated with a custom `formatCar` function and `generateReport` that filters and maps the array. The React-based code uses native JavaScript array methods and string concatenation, writing results into an HTML `<pre>` element via `textContent`.

AI-generated description

A bare minimum HTML page.

See also React Starter.

MIT Licensed

Similar vizzes

Loading thumbnail…

Cars Report

This example displays a text-based report of cars filtered by price, showing each car’s year, make, model, and cost on a large HTML `<pre>` element. It fetches car data asynchronously from a hardcoded JSON array after a two-second delay, then filters vehicles under $2,000 and formats them into a list. The code uses JavaScript Promises via `getCars()`, string template literals in `formatCar`, and the array methods `filter`, `map`, and `join` within `generateReport`, with React not actively used despite being listed in the framework metadata.

KKenneth Goh
95% match
Loading thumbnail…

Cars Report

This example demonstrates a text-based report of cars filtered by price, showing the car year, make, model, and price. It initially displays a "Loading..." message while fetching data asynchronously via a Promise from `getCars`. Once the simulated two-second delay resolves, it generates a filtered list using JavaScript array methods (`filter` and `map`), formats each car with a custom `formatCar` function, and updates the DOM's `textContent` in an HTML `<pre>` element. The report only includes cars under $2,000, selected from a hardcoded JSON array parsed with `JSON.parse`.

Mmp7090
95% match
Loading thumbnail…

Cars Report

This example displays a text-based report of cars priced under $2,000, listing each vehicle’s year, make, model, and price. It begins with a “Loading…” message while fetching data via a simulated asynchronous `getCars()` promise, then uses `generateReport()` to filter and format the JSON car list with `formatCar()`. The report is rendered into a `<pre>` element using plain DOM `textContent` updates, built with React and vanilla JavaScript.

YYifei Wang
94% match
Loading thumbnail…

Cars Report

This example displays a text-based report of cars priced under $2,000. It fetches a hardcoded JSON array of car objects via a simulated asynchronous `getCars()` promise, filters them by price, and formats each entry into a string like “2009 Ford F150 : $1950” using `formatCar.js`. The React-free page renders the final multi-line output into a `<pre>` element. The code uses native JavaScript promises, array `filter` and `map`, and DOM `textContent` to update the view.

Kkavi-kumaran
94% match
Loading thumbnail…

Cars Report

This example displays a text-based report of cars priced under $2,000. The report is generated from a hard-coded JSON array of car objects, which is fetched asynchronously via a custom Promise. The `generateReport` function filters the array by price and uses `formatCar` to produce a formatted string for each vehicle. The final report is rendered inside an HTML `<pre>` element, with React Starter code present in the files.

AAznaggar
93% match
Loading thumbnail…

Cars Report

This visualization displays a text-based report of cars with prices under $2,000, initially showing a “Loading…” message. It fetches a hardcoded JSON array of five car objects using a Promise with a 2-second delay (`getCars`), filters those below the price threshold, and formats each entry via `formatCar` into a "year make model: $price" line. The final output is rendered into a `<pre>` element in HTML using `document.getElementById` and `textContent`, with logic split into `generateReport` and modular imports. It demonstrates asynchronous data handling and string transformation without charting libraries.

Aadbbdd
93% match
Loading thumbnail…

Cars Report

This example shows a text-based report of cars priced under $2,000, generated from a hard-coded JSON dataset. After a simulated two-second loading delay, it displays each matching car as a formatted line like “2000 Honda Accord: $2800”. The code uses React for the app structure, JavaScript promises via `getCars()` for asynchronous data retrieval, and a custom `generateReport` function that filters, maps, and joins results, with formatting handled by `formatCar`. The report appears in a red, large-font `<pre>` element.

Wwavrydr
93% match
Loading thumbnail…

Cars Report

This example displays a text-based report of cars priced under $2,000, listing each vehicle’s year, make, model, and price after a simulated two-second data-fetching delay. It pulls from hardcoded JSON loaded asynchronously via a Promise in `getCars.js`, then uses `Array.filter` and `Array.map` in `generateReport.js` to process and format the output. The result is rendered into a `<pre>` element using plain DOM manipulation, with no external visualization libraries involved.

Eedpmay
93% match