Cars Report

100%

✓ Published0🌍 Public

Last edited Oct 8, 2019

Created on Oct 8, 2019

This example generates a text-based report of cars filtered by price. It imports a static JSON dataset of four cars and applies a custom `generateReport` function to select vehicles under a maximum price, formatting each with the `formatCar` helper as “year make model: $price”. The resulting multi-line string is displayed in an HTML `<pre>` element using vanilla JavaScript via `document.getElementById().textContent`. The project relies on ES module imports and exports, with Rollup bundling the source files.

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 car listings by filtering a hard-coded JSON dataset of four cars based on a maximum price threshold. It uses the `generateReport` function to filter cars below a specified price, format each entry with the `formatCar` utility, and join them with newlines. The report is displayed in a `<pre>` element via `textContent`. The visualization relies on native JavaScript array methods and imports from ES modules, with styling applied through CSS.

Xxanaptdoliveira

93% match

Loading thumbnail…

Cars Report

A text-based report displays a filtered list of cars, showing each vehicle’s year, make, model, and price in a large monospaced layout. The example uses a `generateReport` function that filters an imported JSON array by a maximum price threshold and formats matching entries with `formatCar`. The resulting message is rendered into a `<pre>` element via `document.getElementById().textContent`. The code relies on ES6 modules (`import`/`export`) and a bundled `bundle.js` for browser execution.

Qqueentrudi

92% match

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

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 displays a text-based report of cars filtered by price. It uses hardcoded car data from a JSON array and shows vehicles under $3000, formatted with year, make, model, and price. The code imports `formatCar` to style each entry and `generateReport` to filter and join the results, rendering the output into an HTML `<pre>` element with a large font size.

Yyelin0000

91% match

Loading thumbnail…

Cars Report

This example shows a simple text-based report of cars filtered by price. It loads a hardcoded JSON dataset of five cars, simulates a network request with a two-second delay, and displays a message element showing “Loading…” until data arrives. The `generateReport` function filters cars below a maximum price and formats each entry using the custom `formatCar` function, which returns a string with year, make, model, and price. The output is rendered into an HTML `<pre>` element.

Ccyro666

91% match

Loading thumbnail…

Cars Report

This example generates a text-based report of used cars from a hardcoded JSON dataset. It filters the car list by a maximum price and formats each matching vehicle into a readable string. The visualization uses the `generateReport` function with array methods like `filter`, `map`, and `join` to produce a plain-text output. The car data is parsed from a JSON string using `JSON.parse`, and the final report is displayed in an HTML `<pre>` element. The page uses a simple DOM selection with `document.getElementById` to update the message content.

SSteve-Vail

91% match

Loading thumbnail…

Cars Report

This example demonstrates a text-based report of cars filtered by price, displayed in a large `<pre>` element. It fetches car data from an embedded JSON array via the custom `getCars()` promise, which simulates a two-second delay. The `generateReport` function filters cars under a 2000-dollar threshold using array methods, then formats each entry with `formatCar` before joining lines. The page initially shows "Loading..." and updates to the report using vanilla JavaScript and ES modules.

Wwindsoftheo

91% match