Car Companies

100%

✓ Published0🌍 Public

Last edited Feb 28, 2022

Created on Feb 28, 2022

This example demonstrates the loading and parsing of a CSV file containing car company data using D3.js version 7.3.0. The page displays a summary of the dataset, including its size in kilobytes, number of rows, and column count, within a styled HTML container. The code fetches the CSV from a GitHub Gist URL using the `d3.csv()` method, then uses `d3.csvFormat()` to calculate the data size. The visualization is minimal, focusing on text output rather than graphical representation, with CSS styling applied to headings and the message area.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

Similar vizzes

Loading thumbnail…

Car2

This example displays a dataset of cars and their origin information, presenting the data size in kilobytes, row count, and column count as text on a webpage. The visualization uses D3.js version 7 to load a CSV file from a GitHub gist via the `d3.csv` method. The page is built with HTML and includes styling for the header and message container. The code also references an SVG illustration of a car, though it is not actively rendered by the JavaScript.

RRakshithaRao27

84% match

Loading thumbnail…

Car Brands and Prices

This example demonstrates how to load and summarize a CSV dataset of car brands and prices using D3 v5. The visualization displays basic statistics about the data file, showing its size in kilobytes, the number of rows, and the number of columns in a large-text format. The code uses the `d3.csv` method to fetch and parse the remote CSV file, then leverages `d3.csvFormat` to calculate the data size. An alternative approach using `fetch`, `async`/`await`, and `d3.csvParse` is also provided as commented-out code.

GGeniXiong

83% match

Loading thumbnail…

ICE 5: Loading and Parsing CSV Data with D3.js

This example demonstrates loading a CSV file of car data from a GitHub gist using D3.js version 7. It displays a summary message showing the file size in kilobytes, the number of rows, and the number of columns. The visualization uses D3’s `d3.csv()` to fetch and parse the remote data, then applies `d3.csvFormat()` to calculate its byte length. The result is rendered as plain text in a large `pre` element on an HTML page with CSS styling.

SSaiSreya1

82% match

Loading thumbnail…

Fork of Loading and Parsing CSV Data

This example displays summary statistics for a CSV dataset of cars, reporting the file size in kilobytes, number of rows, and number of columns. It loads the data from a GitHub gist using d3.csv, which returns a promise, then calculates the message from the parsed result and updates the text content of a DOM element. The code also includes commented-out alternatives using fetch with async/await and d3.csvParse, as well as a nested promise example. The page relies on D3 v5 and plain HTML/JavaScript without any React framework integration visible.

Sssarowar

82% match

Loading thumbnail…

ICE-5: Loading and Parsing CSV Data with D3.js

This example demonstrates loading and parsing a CSV dataset of used car details using D3.js v7 within a React-based HTML page. It displays a summary message indicating the dataset’s size in kilobytes, row count, and column count after the file is fetched. The code relies on `d3.csv` to asynchronously retrieve the remote CSV, `d3.csvFormat` to measure its size, and DOM manipulation via `getElementById` to render the results. The page also includes an embedded SVG illustration and styled headings.

KKolliSaiTeja

80% match

Loading thumbnail…

Loading and Parsing CSV Data

This example demonstrates loading and parsing CSV data using D3 v7 within a React framework. It fetches a dataset of CSS named colors from a GitHub gist, then displays a summary of the file size in kilobytes, row count, and column count. The code uses d3.csv to fetch and parse the data, d3.csvFormat to measure its size, and updates the text content of a DOM element. The visualization is minimal, showing only text statistics rather than graphical charts.

KKakeyaK

80% match

Loading thumbnail…

ICE-5: Loading and Parsing CSV Data with D3.js

This example demonstrates how to load and parse a CSV file using D3.js, displaying the file’s metadata—such as size, row count, and column count—as text overlaid on a car illustration. The visualization uses `d3.csv` to fetch data from a GitHub Gist URL, then computes the file size in kilobytes via `d3.csvFormat(data).length`, and retrieves the dataset dimensions from `data.length` and `data.columns`. The results are dynamically inserted into HTML elements using the DOM API, with Bootstrap styling framing the output.

Ssri7harsha

80% match

Loading thumbnail…

Loading and Parsing CSV

This example demonstrates how to load and parse CSV data using D3.js v7. It fetches a dataset of CSS named colors from a GitHub gist and displays three key statistics: the total row count, column count, and file size in kilobytes. The visualization uses `d3.csv()` to asynchronously retrieve and parse the data, then `d3.csvFormat()` to calculate the data size. Results are rendered as large text inside an HTML `<pre>` element, showing the parsed data’s dimensions and magnitude.

SShanmukh

80% match