Cars Report

100%

✓ Published0🌍 Public

Last edited Oct 11, 2019

Created on Oct 11, 2019

This example generates a text-based report of cars priced under $1,950 from a small embedded dataset. It filters the list of five car records by price, formats each entry as a string combining year, make, model, and price, then displays the resulting multi-line message in a large `<pre>` element. The code demonstrates modular ES6 imports (using `cars.js`, `generateReport.js`, and `formatCar.js`) and manual DOM manipulation via `textContent` in `index.js`.

AI-generated description

An example showing the capabilities of VizHub.

MIT Licensed

Similar vizzes

Loading thumbnail…

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

93% match

Loading thumbnail…

Cars Report

This example demonstrates a text-based car report generated from five manually embedded car records, each containing year, make, model, and price. The page displays the report in a large `<pre>` element, listing only cars priced below 2000 dollars. The code uses JavaScript object destructuring in `formatCar.js` to format each entry, and `Array.filter` and `Array.map` in `generateReport.js` to process the data before joining results with newlines. The HTML sets the text content via `document.getElementById().textContent` using the bundled `index.js` module.

NNathan Cheever

92% match

Loading thumbnail…

Cars Report

This example displays a simple text report of cars under a specified price threshold. It uses vanilla JavaScript with ES6 modules to filter a hardcoded JSON dataset of five cars, format each entry with the `formatCar` function, and render the output as plain text in an HTML `<pre>` element. The report is generated by `generateReport`, which filters cars and joins formatted strings with newlines. The styling uses an external Ubuntu font and a dark background.

Qqueentrudi

92% 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

91% match

Loading thumbnail…

Cars Report

This example demonstrates a text-based report of car listings, filtering vehicles by price and formatting each entry as a readable line combining year, make, model, and price. It uses JavaScript ES6 modules with `JSON.parse` to load the car data, a custom `formatCar` function for string interpolation, and array methods `.filter()` and `.map()` within `generateReport` to produce the output. The rendered result appears in a styled `<pre>` element with large monospace text on a dark background, with layout handled by plain HTML and CSS.

Qqueentrudi

91% match

Loading thumbnail…

Cars Report

This example demonstrates a plain-text report generator that filters a small inline dataset of cars by price and formats the results into a readable list. The interface is a single `<pre>` element with large styled text, populated by writing the generated report’s string content into the DOM via `document.getElementById().textContent`. The code uses ES6 modules to separate data parsing with `JSON.parse`, a `formatCar` helper for string templating, and a `generateReport` function that chains `filter` and `map` before joining lines. No external libraries are used, relying only on core JavaScript and HTML.

WWMLek

91% 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

91% match

Loading thumbnail…

Cars Report

This example displays a text-based car report filtered by price. It selects cars priced under 2009 from a small hardcoded JSON dataset and formats each entry into a single line containing year, make, model, and price. The page then renders the resulting list in a large monospace font. The code demonstrates local ES6 module imports and exports for data (`cars.js`), formatting (`formatCar.js`), and report generation (`report.js`), with no external libraries beyond the default bundled setup.

PPaolaAntonicoli

91% match