Cars Report

Cars Report

This example displays a text-based report of cars filtered by price, rendering each matching vehicle as a formatted line with year, make, model, and cost. The visualization uses D3 v5 loaded via UNPKG, along with local ES6 modules for data parsing and report generation. The `cars.js` module defines an inline JSON array, while `generateReport` filters and maps entries using `formatCar`. The resulting message is inserted into a `<pre>` element through `document.getElementById`.

SShankar Ghimire

Cars Report

This example generates a text-based report of cars from a hardcoded JSON dataset, filtering entries by price and formatting each result as a single line of text. The visualization displays the filtered car descriptions in a large `<pre>` element. The code uses D3 v5 loaded via UNPKG for potential data handling, though the main logic relies on custom ES6 modules: `cars.js` parses the JSON, `formatCar` formats each car entry, and `generateReport` filters and maps the data to strings. The final output is injected into the DOM using `document.getElementById().textContent`.

Ddanish-nix

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 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 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 presents a text-based report of car listings, filtering and formatting a small dataset of three vehicles. It demonstrates modular ES6 JavaScript code organization, with separate files for data, formatting, and report generation. The visualization uses D3 v5 loaded via UNPKG, though the core logic relies on native array methods like `filter` and `map` rather than D3-specific APIs. The `generateReport` function filters cars by price and joins formatted strings into a single message displayed in a `<pre>` element, showcasing how to combine local modules with a CDN-loaded library.

BBartłomiej Remlein

Cars Report

The Cars Report demonstrates a text-based data visualization that displays a filtered list of used cars priced under $2,000. It uses JavaScript modules with ES6 imports and exports, including a `formatCar` function for string interpolation and a `generateReport` function that filters and maps car objects. The `getCars` function simulates asynchronous data retrieval with a Promise and setTimeout, while the interface updates an HTML `pre` element with the report. The example highlights modular code organization and asynchronous data handling.

VVikt0riia

Cars Report

This example demonstrates a text-based report that filters a hardcoded dataset of five cars by price and displays a formatted list of matching vehicles. The code defines reusable JavaScript modules—`formatCar.js` for formatting car details, `generateReport.js` for filtering and mapping, and `getCars.js` for parsing embedded JSON data—then combines them in `index.js` to update the page’s `<pre>` element. It shows how to structure data manipulation with ES modules and asynchronous promises in a browser context.

Bb-g-h