Fork of Loading and Parsing CSV Data

Fork of Loading and Parsing CSV Data

This example demonstrates how to load and parse a CSV file containing CSS Named Colors, then displays the file size, row count, and column count as a text summary. The code uses D3 v5’s `d3.csv` method to fetch and parse the remote CSV data, while also providing commented alternatives using the Fetch API with `async`/`await` and `d3.csvParse`. The rendered output is a simple `<pre>` element with large text, showing the parsed dataset’s basic metrics.

Cchar0496

Fork of Loading and Parsing CSV Data

This example demonstrates loading and parsing a CSV file containing CSS named colors, displaying the data’s size, row count, and column count in a large text block. It uses D3 v5’s `d3.csv` method to asynchronously fetch the remote dataset, then `d3.csvFormat` and `data.columns` to compute metrics. The code also includes commented alternatives using the Fetch API with `async`/`await` and `d3.csvParse`, illustrating different parsing strategies. The rendering is plain HTML text within a `<pre>` element, with no graphical visualization.

GGeorge Williams

Fork of Loading and Parsing CSV Data

This example demonstrates loading and parsing CSV data from a remote URL, displaying the file size, row count, and column count in large text. It uses D3 v5’s `d3.csv` method to fetch and parse the CSS Named Colors dataset, then computes metrics from the parsed array and its `.columns` property. The code also includes commented-out alternatives using `fetch` with `async/await` and `d3.csvParse`, highlighting different approaches to asynchronous data loading. The rendered output is a simple HTML `<pre>` element updated via the DOM.

CChestnut Sea

Fork of Loading and Parsing CSV Data

CChestnut Sea

Fork of Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data, displaying file size, row count, and column count for the CSS Named Colors dataset. It uses d3.csv to fetch and parse the remote CSV file, then computes the formatted data size with d3.csvFormat. The interface is a simple HTML page with a large preformatted text area, updated dynamically via JavaScript promises. The code also includes commented alternatives using fetch with async/await and d3.csvParse, illustrating different approaches to asynchronous data loading in D3 v5.

Ffjvoris

Fork of Loading and Parsing CSV Data

This example demonstrates the size and structure of a CSV file containing CSS named colors by displaying its kilobyte size, row count, and column count in large text. It loads the remote dataset using d3.csv and then formats the output with d3.csvFormat to calculate the file size. The page also includes commented-out alternatives using fetch, async/await, and d3.csvParse, illustrating different approaches to loading and parsing CSV data with D3 v5.

Kkarl.dalborg@mail.com

Fork of Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data from a remote source using D3.js. It displays the file size, row count, and column count of the CSS Named Colors dataset in a large text format. The code uses `d3.csv` to fetch and parse the data asynchronously, then accesses the resulting parsed array and its `.columns` property. An alternative approach using `fetch`, `async`/`await`, and `d3.csvParse` is provided in comments, along with a deprecated callback-based "pyramid of doom" pattern.

CCatalina Vajiac

Fork of Loading and Parsing CSV Data

This example demonstrates how to load and parse a CSV file containing CSS named colors, displaying summary statistics about the dataset in a large text element. The code uses D3 v5’s `d3.csv` method to fetch the remote data asynchronously and then computes the file size in kilobytes, row count, and column count using `d3.csvFormat` and the parsed array’s properties. Alternative approaches using `fetch` with `async`/`await` and `d3.csvParse` are also included as commented-out code, along with a nested-promise “pyramid of doom” example for comparison.

RRoman Tolmachev