Cars Report

100%

✓ Published0🌍 Public

Last edited Apr 5, 2020

Created on Apr 5, 2020

The visualization displays a simple text report of cars with prices under $2000, formatted as "year make model: price" lines. It uses the `carsJSON` data source, parsed via `JSON.parse` into the `cars` array. The React-based code filters the array with `filter` and formats each entry using a template literal, though the current output shows the static message "Hello??" assigned to the `message-element` in the HTML. The rendering relies on the Document Object Model (DOM) method `getElementById` with a plain HTML `<pre>` element.

AI-generated description

React Starter code.

MIT Licensed

Similar vizzes

Loading thumbnail…

Cars Report

The Cars Report displays a static line of text showing the first car record from a bundled JSON array, formatted as “year make model:price.” The visualization also filters the dataset for cars under $3000, though this computed result is not rendered on the page. The example runs in React with a plain `index.html` container, using a `<pre>` element for the message. It relies on the `cars.js` module, which parses embedded JSON via `JSON.parse`, and the `index.js` script, which uses array methods `filter`, `map`, and `join` to process records and the DOM API `getElementById` and `textContent` to output the message.

Ppeiselttu

93% match

Loading thumbnail…

Cars Report

The Cars Report example displays a short list of automobiles, showing each vehicle’s year, make, model, and price, but filters the data to display only cars priced under $2,300. The code loads an inline JSON array via `JSON.parse`, then uses `Array.prototype.filter` and `map` to transform the entries into formatted text strings. The final list is joined with newlines and rendered into a DOM element using `document.getElementById().textContent`. The visualization is purely text-based, with no charting or drawing libraries, relying solely on React’s starter structure and the provided `cars.js` data source.

Ffolbrich001

92% match

Loading thumbnail…

Cars Report

This visualization shows a text-only report of cars filtered by price, displaying each matching vehicle on its own line. It renders a static list of five car entries from embedded JSON data, showing only those priced under $2,000 (the Nissan Leaf, Ford F150, and Chevrolet Trailblazer) formatted as “year make model: $price”. The React-based example uses `JSON.parse` to load the data, JavaScript array methods `filter` and `map` for processing, and accesses the DOM via `document.getElementById` to set the text content of a preformatted `<pre>` element.

Ttomaskrupa

92% match

Loading thumbnail…

Cars Report

This example displays a text-based report of cars with a price under $2000, formatted as a list of strings in a pre element. It filters a hard-coded JSON array of car objects using the JavaScript `filter` method and transforms each matching entry into a formatted line with `map`, then joins the lines with newline characters. The report includes year, make, model, and price, and is rendered to the DOM via `document.getElementById` and `textContent`. The React framework is not used for output; the code runs as plain JavaScript.

Kkoohong

92% match

Loading thumbnail…

Cars Report

This example displays a text-based report of used cars, showing five entries with their year, make, model, and price. It demonstrates data filtering and formatting by selecting vehicles priced under $2,000 and converting each record into a readable string. The code uses the `cars.js` module, which parses a JSON array of car data, and React renders the result into a large `<pre>` element via `document.getElementById` and the `textContent` property. The visualization highlights a single selected car’s details while illustrating how static JSON data can be transformed and presented in a simple web interface.

JJulia

91% match

Loading thumbnail…

Cars Report

This example displays a simple text-based report of used cars priced under $2,000. It filters a static JSON array of car objects and formats each matching entry into a single line showing year, make, model, and price. The code uses React for rendering, while `Array.filter`, `Array.map`, and `Array.join` build the output. The result appears in a `<pre>` element with large font size, updated via the DOM API `document.getElementById().textContent`.

Mmgermaine93

91% match

Loading thumbnail…

Cars Report

This example displays a plain-text report of cars priced under $2000, generated from a small inline JSON dataset containing car year, make, model, and price. It shows a filtered list of qualifying entries, each formatted as a single line combining these attributes. The visualization uses React, JavaScript, and CSS, with helper functions `formatCar` and array methods `filter` and `map` to process and transform data. The final report is rendered into a `<pre>` element via the browser’s Document Object Model.

Rraphaeldecosta

91% match

Loading thumbnail…

Cars report

This example displays a text report of cars filtered by price. The page renders a list of car years, makes, models, and prices as plain text, with only those cars priced under $1000 shown. The code imports car data from a JSON array, filters it, maps each entry to a formatted string using template literals, and joins the results with newlines. The final report is inserted into the DOM via `document.getElementById` and `textContent`, with the page using CSS for large centered text styling.

Mmylavarapus

91% match