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 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 text-based car report generated from a small JSON dataset of four vehicles, filtering by price and formatting each entry as a line with year, make, model, and price. It demonstrates a React starter workflow where a module `generateReport` uses `Array.filter` and `Array.map` with the `formatCar` helper to produce a plain-text message, which is then written into the page via `document.getElementById`. A static SVG with a single `<rect>` is also present, and D3 v5 is loaded but only logged to the console, not used for any visualization.

WWholebitmedia

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 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 displays a plain-text report of cars filtered by price, showing each vehicle’s year, make, model, and cost. It uses the `generateReport` function to filter the hardcoded car JSON data and format entries via the `formatCar` helper, which joins them into a single text string. The report appears inside a `<pre>` element styled with CSS, while D3 v5 is loaded but not directly used for rendering, relying instead on standard ES6 module imports and array methods.

Nneoh

Cars Report

Cars Report demonstrates asynchronous data loading and text-based reporting using D3.js. The example fetches a hardcoded JSON array of five used cars via a custom `getCars` promise, then processes the data with `generateReport`. This function filters cars by a maximum price of $2000, formats each entry using `formatCar` (which extracts year, make, model, and price), and joins results into a multi-line string. The final report is displayed in an HTML `<pre>` element after a simulated two-second loading delay, showing that no vehicles meet the price threshold.

Jjesramyep1263

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