Cars Report

Cars Report

This example shows a plain-text report of five cars, listing each vehicle’s year, brand, model, and price, filtered to include only those priced under $2,000. The report is generated from an embedded JSON array parsed with `JSON.parse`, then processed through `Array.filter`, `Array.map`, and `Array.join` to produce formatted lines. The result is displayed inside a `<pre>` element by setting `textContent` via the DOM API, using a custom `formatCar` utility to assemble each line.

Yyouri7

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 generates a text report of used cars priced under $2,000. It filters a static JSON array of five car objects, formats each entry with its year, make, model, and price, and displays the resulting lines in a styled `<pre>` element. The code uses native JavaScript array methods, including `filter` and `map`, along with the `JSON.parse` API to load data and a template literal for string formatting.

RRod Potter

Cars Report

RRod Potter

Cars Report

This example demonstrates a simple text-based report of used cars, filtering a hard-coded JSON array of vehicle data to show only models priced under $2,000. The page renders a formatted list directly into a `<pre>` element using JavaScript’s native array methods `filter`, `map`, and `join`, along with a custom `formatCar` function that composes each line. It utilizes ES6 modules (`import`/`export`) to organize the formatting logic, data parsing via `JSON.parse`, and DOM manipulation through `document.getElementById`. No external visualization libraries are used; the output is plain text, not a chart.

Bbenoitgabrielleger

Cars Report

This example shows a text-based report of used cars, filtering the dataset to display only vehicles priced under $2,000. The cars are loaded from a static JSON array and formatted into readable lines using the `formatCar` function. The report generation relies on the `generateReport` function, which uses `Array.filter` and `Array.map` to process the data, then joins the results with `Array.join`. The final text is injected into the DOM via `document.getElementById` and rendered in a `<pre>` element.

DDi Zhen

Cars Report

This example displays a simple text report listing cars priced under $2,000, with each entry formatted as the year, make, model, and price. The report is generated by filtering a hardcoded JSON dataset of five used cars, then mapping each matching car through a formatting function. The code demonstrates modular JavaScript with ES6 imports and exports, using template literals for string construction and leveraging the `Array.filter` and `Array.map` methods. The resulting message is inserted into a `<pre>` element in the HTML via the Document Object Model.

AAparnaPSha

Cars Report

The Cars Report displays a filtered list of vehicles priced under $2000, formatted as text lines reading year, make, model, and price. It shows five car entries from the embedded `carsJSON` data source, filtering out entries with prices above the threshold. The visualization uses a minimalist approach, rendering plain text to a `<pre>` element via JavaScript DOM manipulation. The code applies `JSON.parse` to structured car data and uses `Array.filter` and `Array.map` to generate the report. Styling relies on CSS with an Ubuntu font and dark background, but no charting or graphics libraries.

DDominika Modzelewska