Cars Report

Cars Report

This example demonstrates a text-based report of cars filtered by price, displaying each vehicle as a formatted line of year, make, model, and price. The page renders the final report in a large, centered `<pre>` element, showing only cars under $3,000 from a hardcoded JSON dataset. The code uses D3 v6 to load and display the data, while custom ES6 modules `formatCar.js` and `generateReport.js` handle data transformation and filtering. The report is generated by chaining array methods, specifically `filter` and `map`, before joining the results into a single string.

NNigel Quinlan

Cars Report

This example demonstrates a text-based car report generated from an in-memory JSON dataset of five vehicles. It shows filtered results, listing cars priced under $2000 as formatted strings combining year, make, model, and price. The implementation uses JavaScript arrays, objects, destructuring, and template literals, with `Array.filter`, `Array.map`, and `Array.join` to transform the data. The report displays in an HTML `<pre>` element, while separate modules (`cars.js`, `formatCar.js`, `generateReport.js`, and `getCars.js`) illustrate modular code organization and a simulated asynchronous `getCars` promise.

Vvaynexie

Cars Report

This example shows a plain-text report of five cars, filtering the dataset to display only models priced under $2,000 and formatting each as a single line with year, make, model, and price. The code imports car data from a JSON string in `cars.js` and uses the `formatCar` function to structure each entry, then joins the results with newlines for output. It relies on ES6 module imports and the native `JSON.parse` API, with the final message rendered into an HTML `<pre>` element via `document.getElementById`. The data source is a hardcoded JSON array of car objects.

Wwinniepooh520

Cars Report

This example displays a filtered list of cars priced under $2,000, formatted as a multi-line text report. It uses JavaScript array methods (`filter`, `map`, `join`) to process an embedded JSON dataset of car entries, extracting and formatting the year, make, model, and price into a readable string. The report is rendered to the page via `textContent` on a `<pre>` element, styled with a large Ubuntu font and a dark blue background from CSS, with ES6 module imports.

DDominika Modzelewska

Cars Report

This example displays a text-based report of cars priced below $2,800, listing each vehicle’s year, make, model, and price on a large, styled webpage. It uses JavaScript array methods like `filter`, `map`, and `join` to process a static JSON dataset of five cars, while the `formatCar` function formats each entry. The output is rendered into a `<pre>` element via `document.getElementById` and `textContent`.

Bb-g-h

cars reports

This example demonstrates a simple text-based report of used car listings, filtering a small inline dataset by price and formatting each entry into a readable line. The code uses JavaScript modules (`cars.js`, `formatCar.js`, `generateReport.js`) to parse JSON with `JSON.parse`, filter the array, map cars into formatted strings, and join them with newlines. The generated report is displayed in a `<pre>` element via `document.getElementById` and `textContent`, showing only cars priced below 3000 dollars.

Nnightjean7

Cars Report

This example generates a text-based report of cars from an embedded JSON dataset, filtering vehicles under $2,000 and formatting each entry with its year, make, model, and price. The code imports car data from `cars.js` and a `formatCar` utility, then uses `generateReport` to chain `filter`, `map`, and `join` operations. The resulting multiline message is written into the DOM via `document.getElementById` and rendered in an HTML `<pre>` element. Data is hardcoded in the source rather than loaded dynamically.

Rreo440

Cars Report

This example displays a simple text-based cars report, showing a filtered list of vehicles under a specified price with their year, make, model, and cost. The code uses JavaScript objects and arrays, with `JSON.parse` to load car data and `Array.prototype.filter` and `map` to process it. It demonstrates modular programming by importing functions like `formatCar` and `generateReport` from separate files, while the asynchronous `getCars` function simulates delayed data retrieval. The final output is rendered into a webpage using the DOM API, specifically `document.getElementById` and `textContent`.

Rrebeccayc