Skip to main content
SimilarExport ZIP
100%

Cars

✓ Published1🌍 Public
Pplumm26
Last edited May 4, 2020
Created on May 4, 2020
Forked from Cars Report

This example shows a text-based report of used cars filtered by price. It loads a hardcoded JSON array of five car objects via `getCars()`, which returns a Promise that resolves after a simulated two-second delay. The `generateReport` function uses array `filter` and `map` methods, along with the `formatCar` utility, to produce a formatted list of cars under $2000, displayed in a `<pre>` element with a “Loading...” placeholder initially. The code demonstrates modular JavaScript with ES6 import/export syntax and asynchronous data handling.

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 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 text-based report of cars filtered by price, displayed in a large `<pre>` element. It fetches car data from an embedded JSON array via the custom `getCars()` promise, which simulates a two-second delay. The `generateReport` function filters cars under a 2000-dollar threshold using array methods, then formats each entry with `formatCar` before joining lines. The page initially shows "Loading..." and updates to the report using vanilla JavaScript and ES modules.

Wwindsoftheo
93% match
Loading thumbnail…

Cars Report

This example shows a simple car report generator that fetches a hardcoded JSON dataset of five vehicles, filters them by price under $2,000, and displays the results as formatted text lines. The page initially shows “Loading...” while the code uses a Promise-based `setTimeout` delay in `getCars()` to simulate an asynchronous data fetch. JavaScript modules (`import`/`export`) organize the logic, with `formatCar` handling string interpolation for year, make, model, and price, and `generateReport` chaining `filter()`, `map()`, and `join()` to build the final output into a `<pre>` element.

Ssethips
93% match
Loading thumbnail…

Cars Report

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.

NNathannous
93% 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
93% match
Loading thumbnail…

Cars Report

This example demonstrates loading a set of car records from an embedded JSON array, filtering those priced under $2,000, and displaying a formatted text report. It relies on JavaScript ES modules, with `getCars.js` returning a Promise that resolves after a simulated two-second delay, while `generateReport.js` uses `Array.filter`, `Array.map`, and `Array.join` to transform the data. The rendered output appears in an HTML `<pre>` element, initially showing a "Loading..." message before the final list is inserted.

AA1L9E9X9
93% match
Loading thumbnail…

Cars Report

This example demonstrates loading a set of car records from an embedded JSON array, filtering those priced under $2,000, and displaying a formatted text report. It relies on JavaScript ES modules, with `getCars.js` returning a Promise that resolves after a simulated two-second delay, while `generateReport.js` uses `Array.filter`, `Array.map`, and `Array.join` to transform the data. The rendered output appears in an HTML `<pre>` element, initially showing a "Loading..." message before the final list is inserted.

AA1L9E9X9
93% match
Loading thumbnail…

Cars Report

This example demonstrates a text-based report of used cars, filtered by price and formatted into a readable list. It shows how asynchronous data retrieval works with a Promise-based `getCars` function that simulates a two-second delay before returning a JSON array of car objects. The `generateReport` module filters cars under a specified maximum price and maps each entry to a string using `formatCar`, which combines year, make, model, and price. The final output is displayed in a `<pre>` element on the page, updated via `document.getElementById` after the promise resolves.

Sssd4
93% match