Cars Report

Cars Report

This visualization displays a text-based report of cars priced above a specified threshold, formatting each entry as a line containing the year, make, model, and price. After a simulated two-second delay, the asynchronous `getCars` function resolves a hard-coded JSON array, and the `generateReport` utility filters and maps those records using `formatCar`. The final message is rendered into a `<pre>` element via D3’s selection API, with the page styled using a large font size and a steel blue background.

AAnthony-coding

Cars Report

This example displays a text-based report of cars at or below a $2,000 price threshold, listing each vehicle’s year, make, model, and formatted price. It initially shows a “Loading…” message, then asynchronously fetches a hardcoded JSON dataset after a two-second delay using a custom `getCars` promise. The `generateReport` function filters the data by price, maps each car through `formatCar`, and joins the results into a string displayed in a `<pre>` element. The code relies on native JavaScript promises and template literals without any external visualization libraries.

YYanda Qu

Cars Report

This example generates a text-based report of cars filtered by maximum price. It loads car data from a hardcoded JSON array via a simulated asynchronous `getCars()` Promise, then applies a `filter` and `map` pipeline in `generateReport` to format each matching car as a string. The output, rendered in a `<pre>` element with a large font, lists the year, make, model, and price. The code uses JavaScript ES6 modules, `Promise`, and DOM `textContent` updates, with no D3 visualization.

Yyoghurtx

Cars Report

This example shows a text-based report of cars filtered by price, displaying each car’s year, make, model, and price. It uses a static JSON array embedded in `getCars.js`, returning a Promise with a two-second delay to simulate async data loading. The `generateReport` function filters cars under a maximum price and maps them through `formatCar` to produce formatted strings. The DOM is updated via the native `document.getElementById` and `.textContent`, with no external visualization libraries, relying on modern JavaScript modules and template literals.

CCurran Kelleher

Cars Report

This example demonstrates a JavaScript-based report generator that displays a filtered list of cars under a specified price threshold. The visualization initially shows a "loading..." message, then asynchronously fetches car data after a 2-second delay using a Promise. The report formats each car's year, make, model, and price using the `formatCar` function, and filters the dataset with `generateReport`. The code separates concerns across modules, with `getCars` providing mock JSON data and `index.js` coordinating the UI update through DOM manipulation. The final output appears as a plain text list in the browser.

KKarol Paks

Cars Report

This example displays a simple text report of cars, showing each vehicle's year, make, model, and price. It loads a static JSON dataset with a simulated delay, then filters and formats the results into a list. The code uses a JavaScript Promise for asynchronous data retrieval, an ES6 module for data formatting, and the DOM API to update the page's content directly. No external visualization libraries are used; the output is plain text presented in a large font.

Yyoghurtx

Cars Report

This example demonstrates a text-based report generated from car data, filtering vehicles under a price threshold and formatting each entry with year, make, model, and price. It uses a JavaScript promise—`getCars()`—to simulate asynchronous loading with a two-second delay, then displays a loading message before rendering the final report in the browser via `textContent`. The modular approach imports `formatCar` and `generateReport` to handle data transformation, relying on `JSON.parse` for the inline car dataset.

Ssetom

Cars Report

This example demonstrates how to generate a text-based report of cars under a specified price threshold. The page displays a list of car details, including year, make, model, and price, after a simulated two-second data loading delay. The implementation uses JavaScript promises in the custom function `getCars` to fetch mock car data, then filters and formats it with `generatereport` and `formatCar` ES6 modules. The report is rendered into a plain text element via `document.getElementById`, showcasing asynchronous data handling without any external libraries.

NNkwachi Abel