Skip to main content
SimilarExport ZIP
100%

Cars Report

✓ Published0🌍 Public
AAhmed Negm
Last edited Aug 17, 2020
Created on Aug 17, 2020
Forked from Cars Report

This example demonstrates an asynchronous JavaScript workflow that generates a text report of used cars priced under $2,000. It shows a loading message, then fetches car data from a JSON array using a simulated `Promise` with `setTimeout`, filters and formats the entries, and displays the final list in a webpage. The code uses ES6 modules for exporting functions like `formatCar` and `generateReport`, employs `Array.filter`, `map`, and template literals to compose the output, and updates the DOM via `document.getElementById` and `textContent`. The report renders as plain text in a `<pre>` element with a large font.

AI-generated description

An example tutorial of how to use JavaScript objects, arrays, and modules.

MIT Licensed

Similar vizzes

Loading thumbnail…

Cars Report

This example demonstrates asynchronous JavaScript data processing by fetching car listings and displaying a formatted report of vehicles priced under $2,000. The page initially shows "Loading..." while the `getCars` function simulates a two-second delay using `Promise` and `setTimeout`. The `generateReport` module filters the hardcoded JSON data, maps each car through `formatCar` to produce strings like "2009 Ford F150: $1950", and joins them with newlines. The final output appears in the HTML `<pre>` element, styled at 3em font size. The code uses JavaScript objects, arrays, ES6 destructuring, and modular exports.

Ddanrhymes
94% match
Loading thumbnail…

Cars Report

This example demonstrates asynchronous JavaScript by fetching a hardcoded JSON array of five used cars and generating a text-only report of vehicles priced under $2,000. The page initially displays “Loading...”, then uses a Promise from `setTimeout` to simulate a two-second network delay before rendering the filtered list. The code relies on ES6 modules, `JSON.parse`, `Array.filter`, `Array.map`, and template literals, with `formatCar.js` and `generateReport.js` encapsulating the data transformation logic. The final output appears in a `<pre>` element via `textContent`.

VVidhuS
94% match
Loading thumbnail…

Cars Report

This example demonstrates generating a text-based report of cars, filtering a hardcoded JSON dataset to display only vehicles priced under $2,000. The interface shows a loading message before asynchronously fetching the data. It uses JavaScript objects, arrays, and modules, with asynchronous operations powered by a Promise and `setTimeout` to simulate a network request. The report is formatted through custom functions, `formatCar` and `generateReport`, using array methods like `filter`, `map`, and `join`. The result is displayed in an HTML `<pre>` element, styled for readability.

深深度碎片
94% match
Loading thumbnail…

Cars Report

This example demonstrates a JavaScript tutorial that asynchronously fetches car data and generates a text report. It shows how to use objects, arrays, and ES modules to parse JSON, filter cars by price, and format output strings. The code uses `getCars()` with a Promise and `setTimeout` to simulate a delay, then applies `generateReport` with `filter`, `map`, and `join` to display a list of cars under $2,000. The message element in the HTML updates from "Loading..." to the final report.

Ddbidwai
94% match
Loading thumbnail…

Cars Report

This example demonstrates a JavaScript tutorial that asynchronously fetches car data and generates a text report. It shows how to use objects, arrays, and ES modules to parse JSON, filter cars by price, and format output strings. The code uses `getCars()` with a Promise and `setTimeout` to simulate a delay, then applies `generateReport` with `filter`, `map`, and `join` to display a list of cars under $2,000. The message element in the HTML updates from "Loading..." to the final report.

Ddbidwai
94% match
Loading thumbnail…

Cars Report

This example demonstrates how asynchronous data fetching and modular JavaScript can be used to generate a simple text-based report of used cars. After a two-second simulated delay, a list of cars priced under $2,000 is displayed on the page. The code relies on native ES modules for importing and exporting functions, the `Promise` API with `setTimeout` for the delayed data retrieval, and `JSON.parse` to convert an embedded JSON string into an array of car objects. The final output is rendered into a `<pre>` element using the DOM method `textContent`.

Ffra-alaimo
94% match
Loading thumbnail…

Cars Report

This example shows a simple text-based report of used cars, filtering a hardcoded JSON dataset to display only vehicles priced under $2,000. It demonstrates asynchronous data loading and modular JavaScript by using a Promise from `getCars()` to simulate a fetch delay, then generating a formatted list with `generateReport()` and `formatCar()`. The rendered output appears as a large monospace text block in the `<pre>` element, with loading text shown before the data resolves. The code relies on `JSON.parse`, `Array.filter`, `Array.map`, and template literals, bundling modules via Rollup.

Ssongchang89
94% match
Loading thumbnail…

Cars Report

This example demonstrates a simple text-based report of used cars, displaying a filtered list of vehicles priced under $2,000 in a large HTML `<pre>` element. It shows how JavaScript modules and Promises structure asynchronous data loading and formatting. The code defines `getCars()` to return a Promise that resolves a hardcoded JSON array after a two-second delay, while `generateReport()` filters and maps the data using the `formatCar` helper. The main script updates the page’s `textContent` from “Loading...” to the final report, using ES6 module imports and exports.

Kkalokli8
94% match