Fork of Loading and Parsing CSV Data

Fork of Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data from a remote URL, displaying the file size, row count, and column count of a CSS Named Colors dataset. The visualization uses d3.csv to fetch and parse the data, while also illustrating alternative approaches with the Fetch API, async/await, and d3.csvParse. A large <pre> element shows the computed statistics, with the code contrasting modern promise-based methods against older callback patterns like the Pyramid of Doom. The example runs in a React framework with d3.v5.

Fflroent

Fork of Loading and Parsing CSV Data

This example demonstrates the process of loading and parsing CSV data from a remote URL. It fetches a dataset of CSS named colors and displays basic statistics—file size, row count, and column count—in a large preformatted text element. The code uses the native `fetch` API with `async`/`await` to retrieve the text, then parses it with `d3.csvParse` from D3 v5. The page also includes commented-out alternatives using `d3.csv` and a nested promise chain.

MMarcelo Albuquerque

Fork of Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data from a remote URL, displaying summary statistics about the dataset. The code fetches a CSV file containing CSS named colors and calculates the file size in kilobytes, the number of rows, and the number of columns. It primarily uses `d3.csv` with a promise chain, while commented-out alternatives show the same task using `fetch`, `async`/`await`, and `d3.csvParse`. The results are rendered as large text inside a `<pre>` element, with the D3 library loaded via a CDN.

Sshapak26

Fork of Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data, displaying the file size, row count, and column count of the CSS Named Colors dataset. The visualization uses the d3.csv method from D3 v5 to fetch the remote CSV file and then formats the results into a text message shown in a large pre element. The code also includes commented-out alternatives using the Fetch API with async/await and a nested promise structure, illustrating different approaches to handling asynchronous data loading.

Mmisstong

Fork of Loading and Parsing CSV Data

This example demonstrates the loading and parsing of CSV data from a remote URL containing CSS named colors, displaying the file size, row count, and column count as large text. The visualization uses d3.csv to fetch and parse the data, then d3.csvFormat to calculate its size, with an alternative commented-out approach using the Fetch API and async/await alongside d3.csvParse. The output is rendered into a pre element via JavaScript, showcasing both the modern d3.v5 API and traditional text-based data processing.

RRoberto

Fork of Loading and Parsing CSV Data

This example demonstrates loading and parsing CSV data from a remote URL, displaying summary statistics as large text. It fetches the CSS Named Colors dataset and shows the file size in kilobytes, row count, and column count. The visualization uses D3 v5’s `d3.csv` method to fetch and parse the data asynchronously, leveraging JavaScript promises. An alternative commented-out approach uses the Fetch API with `async`/`await` and `d3.csvParse` for the same purpose.

Ssumukh-bharadwaj

Fork of Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data from a remote URL, displaying the file size, row count, and column count in a large text element. It uses `d3.csv()` with promises to fetch the CSS Named Colors dataset, then calculates the formatted CSV length in kilobytes using `d3.csvFormat`. The visualization also includes commented-out alternatives using `fetch`, `async`/`await`, and `d3.csvParse`, as well as a nested promise example, illustrating different approaches to asynchronous data loading in D3 v5.

CCecilia831

Fork of Loading and Parsing CSV Data

CCecilia831