Fork of Loading and Parsing CSV Data

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 the file size, row count, and column count. The code uses d3.csv with a promise to fetch and parse the CSS Named Colors dataset, then formats the statistics with template strings. An alternative approach using the Fetch API with async/await and d3.csvParse is included but commented out, alongside a commented nested-promise example. The result appears as large text in a pre element.

Kktshim@snu.ac.kr

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 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 process of loading and parsing CSV data by displaying file size, row count, and column count for a dataset of CSS named colors. The visualization uses D3 v5’s `d3.csv` method to fetch the remote CSV file asynchronously, returning a promise that resolves with parsed data. The code then computes and renders these statistics as plain text using `d3.csvFormat` to measure data length. The example also includes commented-out alternatives using the Fetch API with `async`/`await` and `d3.csvParse`, alongside a "pyramid of doom" pattern for comparison.

RRolf Niggemann

Fork of Fork of Loading and Parsing CSV Data

This example demonstrates the process of loading and parsing CSV data by displaying the file size, row count, and column count of a CSS Named Colors dataset. Using d3.csv to fetch and parse the remote CSV file, the code then formats the summary statistics with d3.csvFormat and updates the page. The visualization also includes commented-out alternatives using the Fetch API with async/await and d3.csvParse, as well as a "pyramid of doom" pattern, to illustrate different approaches to asynchronous data loading.

Aadamacass

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