Cars Report

100%

✓ Published0🌍 Public

Last edited Dec 26, 2019

Created on Dec 26, 2019

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.

AI-generated description

An example showing the capabilities of VizHub.

MIT Licensed

Similar vizzes

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

90% match

Loading thumbnail…

Cars Report

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.

Aadbirch

90% match

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

90% match

Loading thumbnail…

Cars Report

This example displays a single car make from an embedded JSON dataset of five vehicles, showing how to parse and render data with plain JavaScript. The code imports the car data from a separate ES6 module (`cars.js`), parses it with `JSON.parse`, and uses the DOM API `document.getElementById` to insert the value of `cars[1].make` (Nissan) into a styled `<pre>` element. The page styling relies on CSS with an imported Ubuntu font and a dark blue background, while the visualization itself is minimal, demonstrating VizHub's module-based workflow rather than any charting library.

TTucker Richlie

89% 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

89% match

Loading thumbnail…

Cars Report

This example displays a car report by reading imported JSON data and rendering the make of the first vehicle in large text on a dark, styled page. Using the cars module, it parses a static array of car objects and assigns the property to a DOM element’s text content via `document.getElementById`. The interface relies on plain HTML, CSS with a Google Fonts import, and ES6 module exports, though no D3 or interactive visualization is present.

KKG-Gurley

89% match

Loading thumbnail…

Cars Report

This example shows a simple report of five used cars, displaying their year, make, model, and price as raw JSON text directly on the page. The visualization is purely textual, rendering a static array of car data in a large `<pre>` element. It demonstrates loading D3 and local ES6 modules via VizHub, importing the `cars` array from a separate `cars.js` file, and using `document.getElementById` to inject the JSON string into the DOM. The page relies on a bundled `bundle.js` script with basic HTML and CSS styling.

KKumar Nishant

89% match

Loading thumbnail…

Cars Report

This example presents a text-based report of car data from a static JSON array. It uses array methods `filter` and `map` to select vehicles priced under $2900, formats each entry into a readable string with `formatCar`, and joins them with newline characters. The resulting message is displayed inside a `<pre>` element on an HTML page, styled with CSS imports for the Ubuntu font and a dark blue background. The code demonstrates basic ES6 module imports and the VizHub export mechanism.

Eemntd

89% match