Cars Report

100%

✓ Published1🌍 Public

Last edited Apr 27, 2020

Created on Apr 26, 2020

This example demonstrates generating a text-based car report by filtering a list of used vehicles under a price threshold and formatting each entry with year, make, model, and cost. It loads data as a JSON array via the `getCars` function, which returns a Promise that simulates async fetching with `setTimeout`. The report is built using `Array.filter`, `map`, and `join` in `generateReport`, with `formatCar` handling string interpolation. The final output appears in a `<pre>` element after a brief “Loading…” state, showcasing modular JavaScript with ES6 exports and imports.

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 how to generate a text-based car report, filtering a hardcoded JSON dataset of five vehicles by price and formatting each entry as a single line with year, make, model, and cost. It shows an asynchronous loading state before displaying the final report in a large `<pre>` element. The code uses ES6 modules, `JSON.parse`, a `Promise` with `setTimeout` to simulate a data fetch, and `Array.filter` combined with `Array.map` and `join` via exported functions `getCars`, `formatCar`, and `generateReport`.

MMrG113

95% match

Loading thumbnail…

Cars Report

This example demonstrates a text-based report generated from car data, filtering vehicles under a price threshold and formatting each entry with year, make, model, and price. It uses a JavaScript promise—`getCars()`—to simulate asynchronous loading with a two-second delay, then displays a loading message before rendering the final report in the browser via `textContent`. The modular approach imports `formatCar` and `generateReport` to handle data transformation, relying on `JSON.parse` for the inline car dataset.

Ssetom

95% match

Loading thumbnail…

Cars Report

This example shows a text-based report of cars, listing each vehicle’s year, make, model, and price if it falls under a set maximum price. The page initially displays “Loading...” before fetching data asynchronously via a Promise from `getCars`, which simulates a two-second delay with `setTimeout`. Once loaded, the `generateReport` function filters the parsed JSON array and formats each entry using `formatCar`, then writes the multiline result to a `<pre>` element in the DOM. The code relies on native JavaScript methods like `Array.filter`, `Array.map`, and `Array.join`, with no external visualization libraries.

Aariashary

95% match

Loading thumbnail…

Cars Report

This example demonstrates a simple text-based report of used cars, listing each vehicle’s year, make, model, and price after filtering out any car above a specified maximum price. The page displays the generated report in a `<pre>` element, with data defined as a static JSON string and parsed using `JSON.parse`. It uses ES6 modules, including `formatCar` and `generateReport` functions, and a `getCars` function that returns a Promise with a simulated two-second delay. The example highlights JavaScript array methods like `filter`, `map`, and `join` for data processing.

SStephanie Sarkar

95% match

Loading thumbnail…

Cars Report

This example demonstrates a simple text-based report of used cars, filtering a hardcoded JSON dataset by price and displaying matching entries. The interface shows a loading message before asynchronously fetching the data using a Promise and setTimeout in `getCars.js`. The report is generated with `generateReport` and `formatCar` modules, which use destructuring and template literals to format each car’s year, make, model, and price. The final output is rendered into a `<pre>` element, with all logic orchestrated through ES6 imports and exports.

Pphaml5

95% match

Loading thumbnail…

Cars Report

This example demonstrates a text-based report of used cars, filtering and formatting a small dataset into readable lines. It shows how JavaScript modules handle asynchronous data and string generation. The code uses `getCars()` with a `Promise` and `setTimeout` to simulate a two-second loading delay, while `generateReport` chains `filter`, `map`, and `join` to prepare the output. The report renders in a `<pre>` element, initially showing "Loading..." and later the formatted list of cars under a price threshold. The example highlights ES module exports, template literals, and array methods like `filter` and `map`.

DDuyun Tan

94% match

Loading thumbnail…

Cars Report

This example displays a text-based car report, filtering a list of vehicles by price and formatting each entry as “year make model: $price”. It begins with a “Loading...” message before asynchronously retrieving car data via a Promise-returning `getCars` function, then uses `generateReport` with `.filter` and `.map` to process the cars. The JavaScript modules `formatCar` and `generateReport` demonstrate object destructuring, array methods, and modular imports, with `JSON.parse` handling the embedded data and DOM `textContent` updating the display.

Wwinniepooh520

94% match

Loading thumbnail…

Cars Report

This example demonstrates how to generate a text-based car report by filtering a list of vehicles under a price threshold. It shows the async loading of car data via a custom `getCars` function that parses embedded JSON, then uses ES6 modules (`formatCar`, `generateReport`) to transform the data into readable strings. The report updates a DOM element using `document.getElementById` and `textContent`, with a brief “Loading...” state before results appear. The code relies on native JavaScript promises, array methods (`map`, `filter`), and destructuring.

GgabrielBar

94% match