Cars Report

100%

✓ Published0🌍 Public

Last edited Jan 18, 2023

Created on Jan 18, 2023

This example demonstrates a simple text-based report of car listings, filtering a hardcoded JSON dataset to display only vehicles priced under $10,000. The visualization shows a formatted list of cars, with each line presenting the year, make, model, and price derived from the local `getCars` module. The code relies on JavaScript ES6 modules, using `import` statements to load D3 via UNPKG and custom functions like `formatCar` and `generateReport`. The final output is rendered as plain text inside a `<pre>` element, demonstrating VizHub’s ability to orchestrate asynchronous data loading and string manipulation without graphical charts.

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…

Cars Report

This example demonstrates a simple text-based report of car listings, filtering entries by price and formatting each match into a readable line. It shows how VizHub projects can load D3 via UNPKG and use ES6 module imports to organize code. The data is embedded as JSON and fetched asynchronously with a custom `getCars()` promise, while `generateReport()` applies a price filter and `formatCar` transforms each car object into a string. The output is displayed in a `<pre>` element, with a loading message shown until the data arrives.

Ooptimizeresume

92% match

Loading thumbnail…

Cars Report

The cars report demonstrates basic data filtering and text rendering in VizHub. It imports a small hardcoded dataset of car objects from an ES6 module, filters the entries to those priced under $2000, and formats each remaining car into a string with its year, make, model, and price using template literals. The resulting report is concatenated with a line break and displayed as plain text inside an HTML `<pre>` element via the DOM’s `textContent` property. The example uses no external visualization libraries, relying solely on vanilla JavaScript and the module import syntax.

DDuarte Meneses

92% match

Loading thumbnail…

Cars Report

This example renders a text-based report of used cars, showing the power of VizHub to load D3 from UNPKG and modularize code with ES6 `import` statements. It displays a list of cars under a $2000 price threshold, with each entry formatted as "year make model: price." The code relies on a local `generateReport` module that filters and formats the data, a `getCars` module that parses embedded JSON and returns a Promise with a simulated 2-second delay, and an `index.html` with a `<pre>` element updated via the DOM API.

JJustin

92% match

Loading thumbnail…

Cars Report

This example demonstrates a simple text-based report of car listings, filtering the dataset to show only vehicles priced under $20,000. It loads car data from a local JSON module and formats each entry into a readable string showing year, make, model, and price. The report is rendered into a `<pre>` element on the page. The code uses ES6 module imports and exports from local files, along with standard array methods like `filter`, `map`, and `join`. No external visualization libraries are used; the output is plain text.

JJamesChirambo

91% match

Loading thumbnail…

Cars Report

This example displays a simple text-based report of cars, filtering the dataset to show only vehicles priced below $30,000 and formatting each entry with its year, make, model, and price. It uses JavaScript ES6 modules, with `JSON.parse` to load the car data from an inline array in `cars.js`, a `filter` method to select qualifying records, and a `map` with the `formatCar` function to generate the output. The final report is rendered into the DOM by setting the `textContent` of a pre element in `index.html`, with an imported `bundle.js` handling the logic.

HHeath Wilkinson

90% match

Loading thumbnail…

Cars Report

This example renders a simple text-based report of car listings, displaying the full parsed dataset directly on the page. It imports car data from a module containing a JSON string, parses it with `JSON.parse`, and assigns the resulting array to a `<pre>` element via `textContent`. The page uses large Ubuntu typography against a dark blue background, with styling defined in CSS. No charting or visualization libraries are used; the focus is on demonstrating basic data import and DOM manipulation within a VizHub project.

DDjan Magno

90% match

Loading thumbnail…

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

90% match

Loading thumbnail…

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

90% match