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Tttarnalicki3@gatech.edu
Last edited Aug 20, 2024
Created on Aug 20, 2024
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This example demonstrates a simple report generator that filters a car listing by price and displays the results as formatted text. It uses asynchronous JavaScript with a Promise-based `getCars` function to simulate a two-second data delay, and a modular architecture with ES6 imports and exports across `getCars.js`, `generateReport.js`, and `formatCar.js`. The rendered output appears in an HTML `<pre>` element, showing each car as a line with year, make, model, and price, limited to vehicles under 2000 dollars.

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

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Fork of Cars Report

This example demonstrates a simple report generator that filters a car listing by price and displays the results as formatted text. It uses asynchronous JavaScript with a Promise-based `getCars` function to simulate a two-second data delay, and a modular architecture with ES6 imports and exports across `getCars.js`, `generateReport.js`, and `formatCar.js`. The rendered output appears in an HTML `<pre>` element, showing each car as a line with year, make, model, and price, limited to vehicles under 2000 dollars.

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This example demonstrates a simple report generator that filters and formats car listings by price. It uses JavaScript modules, arrays, objects, and Promises to load data and produce a text-based message. The code relies on `getCars()` to return a hardcoded JSON dataset after a simulated delay, then `generateReport()` filters cars under $2,500 and formats each entry with `formatCar`, which outputs year, make, model, and price. The final report appears inside an HTML `<pre>` element.

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This example demonstrates a simple report generator that filters a small dataset of used cars by price and displays the results as formatted text. It loads car data asynchronously from a JSON string using a JavaScript Promise, then applies array methods like `filter` and `map` to select and format entries. The code uses ES6 modules, including `import` and `export` statements, with functions such as `getCars`, `generateReport`, and `formatCar` to handle data processing. The output renders in the browser as a plain-text list of matching cars under a $2000 threshold.

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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 shows a simple asynchronous report generator for a car inventory. It displays a filtered list of cars under a given price threshold, formatted as text lines. The code uses JavaScript modules and Promises: `getCars()` returns a Promise that resolves a parsed JSON array after a simulated delay, while `generateReport()` filters and maps the data using `Array.filter` and `Array.map` with a custom `formatCar` function. The final message is written into the DOM via `textContent`.

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This example demonstrates how to build a JavaScript data report that filters and formats car listings under a price threshold. The code uses a JavaScript Promise from `getCars` to asynchronously retrieve an embedded JSON array of car objects, then processes it through `generateReport` and `formatCar` modules. The final output is rendered as text into an HTML `<pre>` element via the DOM API, with a brief "Loading..." state. The implementation highlights modular JavaScript functions and JSON parsing without relying on external visualization libraries.

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This example demonstrates a car-report generator that filters a set of car listings by price and formats the results as text. It fetches JSON data from a `fetch` API call to a local server, then uses JavaScript array methods (`filter`, `map`, and `join`) to process and display the report. The code relies on custom modules (`formatCard` and `generateReport`) and a mock data promise (`getCars`) that simulates a delayed response. The final output is rendered into an HTML `<pre>` element.

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This example demonstrates a simple text-based data report generator. It loads a list of car objects stored as a JSON string, filters them to show only those priced under $2,000, and formats each entry as a line like "2009 Ford F150: $1950". The output is rendered directly into an HTML `<pre>` element. The code uses JavaScript promises with a simulated delay via `setTimeout` within `getCars`, and it imports and uses the `formatCar` and `generateReport` functions from separate modules to structure the data processing and final message string.

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