Fork of Loading and Parsing CSV Data

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 the parsing of a CSV file containing CSS named colors, displaying the file size in kilobytes, row count, and column count. It uses D3 version 5’s `d3.csv` method to fetch and parse the remote data asynchronously. The code also includes commented-out alternatives using `fetch` with async/await and a nested promise approach. The parsed information is rendered in a large `<pre>` element using JavaScript.

JJonas Carvalho

Fork of Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data from a remote URL, then summarizes the dataset’s size in kilobytes, row count, and column count on a large text display. It uses D3 v5’s `d3.csv` method with a Promise-based `.then` callback to fetch the file, while commented-out alternatives show the same task using the Fetch API with async/await and `d3.csvParse`. The data comes from a GitHub gist containing CSS named colors. The page is minimal, relying on a `<pre>` element for output and no interactive charts.

Hhenry c

Fork of Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data, displaying the file’s size in kilobytes, row count, and column count as large text. It uses D3 v5’s `d3.csv` and `d3.csvFormat` to fetch and process the data, with commented alternatives showing `fetch`, `async/await`, and `d3.csvParse`. The data comes from a GitHub gist of CSS named colors, and the results update a single `<pre>` element without any visual chart.

TThfc1991

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 the CSS Named Colors dataset. The code uses D3 v5’s `d3.csv` method to fetch and parse the data asynchronously, then formats the summary using `d3.csvFormat` and `data.columns`. A commented-out alternative shows parsing via the Fetch API with `async`/`await` and `d3.csvParse`. The results are rendered as large text inside an HTML `<pre>` element.

GGordon Yang

Fork of Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data from a remote URL, displaying the dataset’s size in kilobytes, row count, and column count. Using D3 v5’s `d3.csv` method, it fetches the CSS Named Colors dataset from a GitHub gist, then formats the parsed rows with `d3.csvFormat` to calculate the file size. The result is rendered as text inside an HTML `<pre>` element. Alternate implementations using `fetch` with `async`/`await` and `d3.csvParse` are commented out for comparison.

CCesar R Castillo

Fork of Loading and Parsing CSV Data

This example demonstrates the process of loading and parsing CSV data from a remote URL, displaying the file size, row count, and column count of the dataset. The code uses either the `d3.csv` method or the `fetch` API combined with `d3.csvParse` and async/await syntax to handle the data retrieval. The data source is a gist containing CSS named colors, and the results render as text in a large-format `pre` element. The example also includes commented-out code showing a nested Promise "pyramid of doom" pattern for comparison.

CChristian Rohrer