Skip to main content
SimilarExport ZIP
100%

Cars Report

✓ Published0🌍 Public
Ssgroko
Last edited Aug 11, 2020
Created on Aug 11, 2020
Forked from Cars Report

This example demonstrates a JavaScript data-processing workflow that filters a hardcoded array of car objects and displays a formatted text report. It shows how asynchronous data loading and modular functions combine to produce a readable list of cars under a price threshold. The code uses `JSON.parse` to parse inline car data, a `Promise` with `setTimeout` in `getCars.js` to simulate a delayed fetch, and `Array.filter` with `Array.map` in `generateReport.js` to select and format entries. Results are written to the DOM via `document.getElementById` and `textContent` in `index.js`.

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 a JavaScript data-processing workflow that outputs a text-based car report. It defines a `getCars` function that returns a promise resolving to an array of car objects, and a `generateReport` function that filters cars by price and formats each entry using `formatCar`. The UI initially displays "Loading..." and updates to the filtered report after a simulated 2-second delay. The code uses JavaScript modules, `JSON.parse`, Promises, `setTimeout`, and array methods (`filter`, `map`, `join`) to generate the final output.

Lleewardsmain
95% match
Loading thumbnail…

Cars Report

This example demonstrates a simple asynchronous data-loading workflow that displays a filtered list of cars under a specified price. It shows how JavaScript ES modules, Promises, and array methods like `filter` and `map` combine to generate a text report. The app uses `getCars()` with a `setTimeout` to simulate fetching hardcoded JSON data, then `generateReport` formats each car into a year-make-model-price string. The final output is rendered into a `<pre>` element using the DOM API `textContent`, with a loading message shown initially.

Jjhofang
94% match
Loading thumbnail…

Cars Report

This example demonstrates a text-based car report generated from a JSON array of five used vehicles, filtering by price and formatting each entry as a readable line. It illustrates asynchronous data handling with a `Promise` and `setTimeout` in `getCars.js`, while `generateReport.js` chains `filter`, `map`, and `join` to produce the final output. The page uses a `<pre>` element in `index.html` to display the result, with JavaScript modules (`import`/`export`) orchestrating the logic. The report updates after a simulated two-second delay, showing only cars priced under $2,000.

Aavglim3
94% match
Loading thumbnail…

Cars Report

This example demonstrates a JavaScript data-processing workflow that filters a hardcoded JSON array of car objects and formats them into a text report. It visually shows how modular code with ES modules, Promises, and async operations can power a dynamic user interface. The code uses `JSON.parse` to load car data, `setTimeout` inside a Promise to simulate a delayed API call, and the `filter`, `map`, and `join` array methods to transform the data. The rendered output is plain HTML text updated asynchronously with the final list of affordable cars.

Ssetom
94% match
Loading thumbnail…

Cars Report

This example demonstrates how JavaScript modules and asynchronous data fetching can generate a text-based report of cars under a given price threshold. It loads car data from a hardcoded JSON array via the `getCars()` promise, filters and formats entries using `generateReport()` and `formatCar()`, then displays the result in an HTML `<pre>` element. The code uses native ES6 features like object destructuring, `Array.filter`, `Array.map`, and template literals, with `setTimeout` simulating a delayed API response.

Bbroomc
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
93% 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
93% match
Loading thumbnail…

Cars Report

This example demonstrates a simple text-based report generated from an array of car objects. It shows how asynchronous data loading and modular JavaScript can dynamically populate a web page. The code uses the `fetch`-like pattern via a custom Promise in `getCars.js`, along with `JSON.parse` to convert raw data. The `generateReport` function filters cars by price and formats each entry using `formatCar` template literals. The page displays “Loading…” initially, then updates the DOM's `textContent` with the filtered list after a simulated two-second delay.

TTrey Billing
93% match