Car Reports

Cars Report

This example demonstrates a simple text-based report generated from a hardcoded JSON array of four cars with attributes for year, make, model, and price. It filters the cars to show only those priced under $2,000, using a local ES6 module (`generateReport`) that maps and joins the formatted strings. The code loads D3 via UNPKG for general use, but the report itself relies on native JavaScript promises and `setTimeout` in `getCars` to simulate asynchronous data fetching, then updates the DOM by setting the `textContent` of an HTML `<pre>` element.

Bbenroston

CarsReport

This example displays a text-based report of cars priced under $2,000, listing each vehicle’s year, model, make, and price. After a two-second simulated delay, the page replaces a “loading...” message with the generated list. The code uses a custom `getCars` promise to fetch hardcoded JSON data, `generateReport` with `filter` and `map` to process entries, and D3 v5 only in the HTML script tag. The interface is a simple `<pre>` element updated via DOM manipulation.

Vvicjomaa

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

Cars Report

This example demonstrates a simple text-based report of used cars, filtering a static JSON dataset to display only vehicles priced under $2,000. It shows how asynchronous JavaScript loads data with a simulated delay via `Promise` and `setTimeout`, then formats each car’s year, make, model, and price into a readable string. The code uses `getCars()` to fetch the inline JSON array, `generateReport()` with `filter` and `map` to process entries, and a custom `formatCar` function to build the output, which is inserted into an HTML `<pre>` element. The visualization relies on standard JavaScript object manipulation and module exports, with no external charting libraries.

AAloysius

Car Report

This example demonstrates a text-based car report generated from a hardcoded JSON dataset. It displays a list of cars filtered by price, showing the year, make, model, and price of vehicles under a $2,000 threshold. The report loads asynchronously using a Promise with a two-second delay. The code uses D3 v5, ES6 modules for data processing, and JavaScript string formatting to build the final text output presented in a large preformatted HTML element.

HHalima-Ali

Cars Report

This example demonstrates a text-based report of cars filtered by price, displaying only vehicles under $2,000 with their year, make, model, and cost. It uses JavaScript modules with exported functions, including `getCars` which parses a static JSON array and returns it via a `Promise` with a simulated delay, and `generateReport`, which filters and formats the data using template literals. The page initially shows "Loading..." and then updates a `<pre>` element with the generated report. It relies on native `Promise` and `JSON.parse` APIs.

WWai Kit Tsang

Car Report

This example displays a text-based car report generated from a hardcoded JSON array. It shows a list of vehicles, with each line containing the year, make, model, and price, filtered to only include cars under $2,500. The page initially shows “Loading…” while a promise delays the data retrieval by two seconds, after which the report is rendered. The visualization uses D3.js’s `select` API to update the content of an HTML `<pre>` element, while custom JavaScript functions `getCars` and `generateReport` handle the async data loading and text formatting.

Ppothurisathish

Cars Report

This example displays a text-based report of cars filtered by price, showing the make, model, year, and cost for vehicles under $2,000. The page initially shows a loading message while a simulated asynchronous data fetch runs via a Promise with a two-second delay. The code uses ES6 modules, `JSON.parse` to load hardcoded car data, and the `Promise` API to handle the delayed response. Once loaded, the `generateReport` function filters, formats, and joins the car entries into a single string displayed in an HTML `<pre>` element.

EEllen Cubbin