Fork of Fork of Cars Report

100%

Fork of Fork of Cars Report

✓ Published1🌍 Public

Last edited Apr 26, 2022

Created on Apr 26, 2022

This example demonstrates how to build a simple, text-based report from a static dataset of cars using ES6 modules. It loads a hardcoded JSON array of car objects via a local async function and filters them by price, formatting each match into a readable line with the `formatCar` helper. The report is generated using the `generateReport` function and displayed inside a `<pre>` element. The code shows how to use `import`/`export` for both local modules and the D3 library, though D3 itself is not used in the logic.

AI-generated description

An example showing the capabilities of VizHub:

Loads D3 via UNPKG.
Demonstrates use of import from "d3".
Demonstrates use of import from local ES6 modules.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Cars Report

This example displays a text-based report of cars filtered by price. It shows how to compose local ES6 modules and import them into a main script, with `generateReport` filtering a hardcoded `cars` array and mapping each entry through `formatCar` to produce formatted strings. The resulting message is rendered into a `<pre>` element using `document.getElementById`. It relies on D3 v5 loaded via UNPKG, though the report itself uses no D3-specific APIs, instead demonstrating modular JavaScript organization in a VizHub environment.

Ppuru001

94% match

Loading thumbnail…

Fork of Cars Report

This example demonstrates a JavaScript module pattern that generates a text-based car report, filtering vehicles under a specified price and formatting each entry as a string line. The visualization shows a loading message, then a list of five cars with their year, make, model, and price, sourced from an embedded JSON array. The code uses ES6 module exports and imports (`export const formatCar`, `import { generateReport }`), a `Promise` with `setTimeout` to simulate asynchronous data fetching, and DOM manipulation via `document.getElementById` to update the displayed text. The rendering is plain text within a `<pre>` element, styled with large font size.

Rrohitdiwadkar

89% match

Loading thumbnail…

Fork of Cars Report

This example demonstrates how to generate a text-based car report from a JSON dataset. It uses JavaScript promises with `setTimeout` to simulate asynchronous data loading, then filters and formats car entries using array methods like `.filter()` and `.map()`. The code imports and exports functions across ES6 modules, displaying the final report in an HTML `<pre>` element while also showing the first car’s make in a separate paragraph.

BBrooney222

89% match

Loading thumbnail…

Fork of Cars Report

This example demonstrates a JavaScript data-processing report that loads car listings from an embedded JSON string, filters them by a price threshold, and formats each match into a readable line. It shows how to structure code into modular files using ES module exports, including `formatCar` for string interpolation and `generateReport` for chaining array methods like `filter` and `map`. The `getCars` function returns a Promise that simulates a 2‑second asynchronous delay before resolving the data. The rendered output appears as plain text in an HTML `<pre>` element, updated via the DOM’s `textContent` property.

Ccabbageknives

88% match

Loading thumbnail…

Fork of Cars Report

This example demonstrates a simple report generator that filters a small dataset of used cars by price and displays the results as formatted text. It loads car data asynchronously from a JSON string using a JavaScript Promise, then applies array methods like `filter` and `map` to select and format entries. The code uses ES6 modules, including `import` and `export` statements, with functions such as `getCars`, `generateReport`, and `formatCar` to handle data processing. The output renders in the browser as a plain-text list of matching cars under a $2000 threshold.

Ggharakhani1986

88% match

Loading thumbnail…

Fork of Cars Report

This example demonstrates how to generate a text-based car report using JavaScript modules and asynchronous data loading. It defines car objects in a JSON array and uses functions to filter cars below a specified price (2000) and format them into readable lines. The code initializes a “Loading...” message, fetches data via a Promise-based `getCars` function with a two-second delay, then displays the filtered report. It relies on ES6 modules (`import`/`export`), `JSON.parse`, and DOM manipulation through `document.getElementById` and `textContent`.

Mmp7090

88% match

Loading thumbnail…

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

88% match

Loading thumbnail…

Fork of Cars Report

This example demonstrates how to generate a text-based car report by filtering a JSON dataset of vehicles based on price. It uses the `getCars` function with a simulated asynchronous delay to load car data, then the `generateReport` function filters cars below a price threshold and formats each entry using the `formatCar` function. The report is displayed in a `<pre>` element on the page via plain DOM manipulation in `index.js`. JavaScript modules and Promises are used to structure the data flow and rendering.

GGodspower Wodi

88% match