Fork of Fork of Loading and Parsing CSV Data

Fork of Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data, displaying the file’s size, row count, and column count for a dataset of CSS named colors. Using d3.csv from D3 v5, it fetches the remote CSV and processes the resulting array. The code also includes commented alternatives that use fetch with async/await and d3.csvParse, plus a “pyramid of doom” example, to illustrate different parsing strategies. The parsed data is rendered as plain text in a large-preformatted element.

MMegRocky

Fork of Loading and Parsing CSV Data

This example demonstrates the mechanics of loading and parsing CSV data by displaying a brief summary of the CSS Named Colors dataset, including its size in kilobytes, row count, and column count. The visualization relies on D3 v5’s `d3.csv` method to fetch the remote file and parse it, while `d3.csvFormat` and the `.columns` property of the parsed data supply the statistics. The code also includes commented alternatives using `fetch` with `async`/`await` and a "pyramid of doom" pattern, highlighting different approaches to asynchronous data loading.

AAnthony Le

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 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 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 how to load and parse CSV data using D3. It displays a summary of the CSS Named Colors dataset, including its size in kilobytes, number of rows, and number of columns, in a large monospace text element. The code uses d3.csv to fetch and parse the data, and d3.csvFormat to calculate the byte size. An alternative commented-out approach shows the same task using fetch, async/await, and d3.csvParse. The visualization is minimal, focusing entirely on the data-loading process.

JJoshua-96

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 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