Cars Report

100%

✓ Published1🌍 Public

Last edited Jul 19, 2019

Created on Jul 19, 2019

This example renders a text-based report of car listings filtered by price. The code uses D3 v5’s `select` API and vanilla DOM methods to display the generated message in a styled `<pre>` element. It imports car data from a JSON string, filters cars above a minimum price threshold, and formats each entry with a custom `formatCar` function, producing a clean, readable summary on a dark background.

AI-generated description

An example showing the capabilities of VizHub.

MIT Licensed

Similar vizzes

Loading thumbnail…

Cars Report

This example demonstrates how to generate a text-based car report using D3.js and ES6 modules. It filters a hardcoded JSON dataset of seven cars by a minimum price threshold of $1000, formats each matching entry with the `formatCar` function, and displays the results in a `<pre>` element. The visualization uses `d3.select` and `document.getElementById` to render the final message, while the report logic relies on array methods like `filter`, `map`, and `join`. A dark blue background and Ubuntu font style the output.

EEbrahim Alareqi

92% match

Loading thumbnail…

Cars Report

This example displays a plain-text report of cars filtered by price, showing each vehicle’s year, make, model, and cost. It uses the `generateReport` function to filter the hardcoded car JSON data and format entries via the `formatCar` helper, which joins them into a single text string. The report appears inside a `<pre>` element styled with CSS, while D3 v5 is loaded but not directly used for rendering, relying instead on standard ES6 module imports and array methods.

Nneoh

92% 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

92% match

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

91% 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

91% 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

91% match

Loading thumbnail…

Cars Report

This example presents a text-based report of car listings, filtering five vehicles by price and formatting them into a list. It uses an asynchronous JavaScript function with a simulated delay to load the car data. The visualization relies on D3 v5 for the web page setup, while the report generation uses custom ES6 modules: `formatCar` for string formatting and `generateReport` to filter and join the results. The filtered output is displayed in a styled HTML element with a large Ubuntu font and a light blue background.

AAnthony-coding

91% match

Loading thumbnail…

Cars Report

This example generates a text-based report of cars from a hardcoded JSON dataset, filtering entries by price and formatting each result as a single line of text. The visualization displays the filtered car descriptions in a large `<pre>` element. The code uses D3 v5 loaded via UNPKG for potential data handling, though the main logic relies on custom ES6 modules: `cars.js` parses the JSON, `formatCar` formats each car entry, and `generateReport` filters and maps the data to strings. The final output is injected into the DOM using `document.getElementById().textContent`.

Ddanish-nix

90% match