Cars Report

100%

✓ Published0🌍 Public

Last edited Dec 1, 2021

Created on Dec 1, 2021

This report displays a single car manufacturer’s name from an in-memory dataset, with a focus on filtering and formatting car records. It loads D3 via UNPKG, but the script primarily uses plain JavaScript array methods like `filter()`, `map()`, and `join()` to prepare a list of cars priced under $2000, though only the first make is rendered to the page. The data comes from a local ES6 module `cars.js` which exports parsed JSON. The page updates a `<pre>` element’s text content via `document.getElementById` to show the result.

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 displays a text-based report of cars filtered by price, rendering each matching vehicle as a formatted line with year, make, model, and cost. The visualization uses D3 v5 loaded via UNPKG, along with local ES6 modules for data parsing and report generation. The `cars.js` module defines an inline JSON array, while `generateReport` filters and maps entries using `formatCar`. The resulting message is inserted into a `<pre>` element through `document.getElementById`.

SShankar Ghimire

87% match

Loading thumbnail…

Cars Report

This example displays a text-based report of cars, filtering a small dataset to show only those priced under a specified limit and formatting each entry with year, make, model, and price. The page updates a preformatted HTML element with the generated multi-line string. It demonstrates loading D3 from a CDN via UNPKG while also showcasing local ES6 modules and data parsing with `JSON.parse`, using plain JavaScript string manipulation and array methods like `filter` and `map`.

TTaweewat Somboonpanyakul

87% match

Loading thumbnail…

Cars Report

This example demonstrates a simple text-based report generated from a hardcoded JSON array of four cars with attributes for year, make, model, and price. It filters the cars to show only those priced under $2,000, using a local ES6 module (`generateReport`) that maps and joins the formatted strings. The code loads D3 via UNPKG for general use, but the report itself relies on native JavaScript promises and `setTimeout` in `getCars` to simulate asynchronous data fetching, then updates the DOM by setting the `textContent` of an HTML `<pre>` element.

Bbenroston

87% match

Loading thumbnail…

Cars Report

This example visualizes a small dataset of five used cars with their make, model, year, and price. It loads D3 via UNPKG and imports car data from a local ES6 module using `JSON.parse`. The page renders the raw data into an HTML `<pre>` element with large font size, demonstrating basic module imports and D3 integration with minimal setup.

HHaniAlHawasli

87% match

Loading thumbnail…

Cars Report

This example presents a text-based report of used cars, filtering and formatting a small inline dataset. The data is stored in a local ES6 module as an array of objects with make, model, year, and price fields. The code uses `d3.select` to set the text content of a DOM element, while JavaScript array methods like `filter`, `map`, and `join` generate the output. Only cars priced under $2000 are included, with each line formatted as year, make, model, and price. D3 is loaded from UNPKG within a standard HTML page.

Wwiscombetom

87% 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

86% 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

86% match

Loading thumbnail…

Cars Report

This example displays a static text report of car listings, filtering the dataset to show only vehicles manufactured after 2000. It uses the native JavaScript `filter` and `map` array methods along with a custom `formatCar` function to prepare the output, though only the first car’s make is ultimately rendered. The data comes from an inline JSON array containing car make, model, year, and price, and the visualization updates a single `<pre>` element via `document.getElementById` and `textContent`.

YYuri_Wg

86% match