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Fork of Cars Report

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Last edited Nov 25, 2022

Created on Nov 25, 2022

This example demonstrates a small asynchronous report generator that filters a hardcoded list of used cars by price and formats the results into a text display. It uses JavaScript Promises to simulate a two-second data fetch via `getCars`, then applies array methods like `filter` and `map`, and a custom `formatCar` function to produce a readable list. The page updates a `<pre>` element’s text content, initially showing “Loading…” until the data resolves. The code relies on ES modules (`import`/`export`) and JSON parsing to structure the data flow.

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

MIT Licensed

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This example demonstrates a simple asynchronous report generator that filters a hardcoded JSON array of five used cars by price and formats the results into a readable text list. The page uses JavaScript modules (`export`/`import`) and a `Promise` with `setTimeout` to simulate a two-second data-fetching delay before updating the initial "Hello" message in the HTML. The visible output is plain text rendered inside a `<pre>` element, with no charting or visualization library involved—focusing instead on core ES6 object destructuring, array methods (`filter`, `map`, `join`), and modular code organization.

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This example demonstrates a simple asynchronous data-reporting workflow, loading a static JSON array of five used cars and generating a filtered list of those priced under $2,000. The code uses `Promise`-based `getCars()` with a simulated 2-second delay, then renders the final text into an HTML `<pre>` element via `document.getElementById`. It highlights modular JavaScript with ES modules, including `export`/`import` syntax and array methods like `filter` and `map`, showing how to structure reusable functions (`formatCar`, `generateReport`) for text-based output.

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This example demonstrates a simple text-based report that filters a list of cars by price and displays formatted entries. The page initially shows “Loading...” and, after a two-second simulated delay, renders a report of cars under $2,000. The code uses JavaScript modules and Promises, with `getCars` returning a hardcoded JSON array of car objects, and `generateReport` filtering and formatting each item via `formatCar`. The final output is written into a `<pre>` element.

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This example demonstrates a JavaScript-based data report that filters a list of cars by price and formats the results into a readable text presentation. The visualization uses the Promise-based `getCars` function to asynchronously retrieve a hardcoded JSON array of five car objects, then applies a filter for cars priced under 2000 and maps each entry to a formatted string. The final message, which initially displays "Loading..." before the data arrives, is rendered in large type via the `textContent` property of an HTML `<pre>` element. The modular structure uses exported functions (`formatCar`, `generateReport`) and relies on standard JavaScript array methods like `filter`, `map`, and `join` for processing.

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This example demonstrates a JavaScript data-processing pipeline that loads car data, filters by price, and formats the results into a text report displayed on a web page. It uses the native `fetch`-like pattern through a custom `getCars` function that returns a Promise wrapping a hardcoded JSON array, simulating asynchronous data retrieval. The code exercises ES6 modules with `import`/`export`, array methods like `filter` and `map`, and template literals in the `formatCar` utility. The final output appears in a `<pre>` element after a two-second simulated delay.

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