Fork of Loading and Parsing CSV Data

Fork of Loading and Parsing CSV Data

This example loads CSS named colors from a CSV file hosted on GitHub and displays a summary of the dataset as text. It uses D3 v5’s `d3.csv` method to fetch and parse the data, then reports the file size in kilobytes, the number of rows, and the number of columns. The code also includes commented-out alternatives using the Fetch API with async/await and `d3.csvParse`, as well as a nested promise “pyramid of doom” pattern for comparison. The rendered output is a simple `<pre>` element with large monospaced text.

Dddrake

Fork of Loading and Parsing CSV Data

This example loads and parses CSS Named Colors CSV data, displaying a summary of the dataset’s size, row count, and column count in a large monospaced text block. It primarily uses d3.csv to fetch and parse the remote CSV file, then computes the formatted data’s length in kilobytes via d3.csvFormat. The code also shows commented alternatives using fetch, async/await, and d3.csvParse, as well as a nested promise “pyramid of doom” pattern, to illustrate different approaches to asynchronous data loading within a React context.

8888Midas888

Fork of Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data using D3 and the Fetch API. It fetches a list of CSS named colors from a GitHub Gist and displays a summary of that dataset: the file size in kilobytes, the number of rows, and the number of columns. The code highlights two approaches: using `d3.csv` to fetch and parse directly, and an alternative method that uses `fetch` with `async`/`await` alongside `d3.csvParse`. A commented-out section shows an older "pyramid of doom" pattern. The results are rendered as large text in an HTML `<pre>` element, with a font size set via CSS.

Ggzm17

Fork of Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data by displaying the file size, row count, and column count of a CSS Named Colors dataset pulled from a GitHub gist. It uses the D3 v5 `d3.csv()` method to fetch and parse the data asynchronously, then formats the summary with `d3.csvFormat()` and updates the page via `document.getElementById()`. Commented-out alternatives show equivalent approaches using the Fetch API with `fetch()` and `response.text()`, alongside `d3.csvParse()` and `async`/`await` syntax.

DDhiraj Gede

Fork of Loading and Parsing CSV Data

This example demonstrates how to load and parse a CSV file containing CSS Named Colors using D3 v5 and React. The page displays a summary of the dataset—its size in kilobytes, number of rows, and number of columns—in a large text element. The primary implementation uses `d3.csv` with promises, while commented-out alternatives show `fetch` with `async`/`await` and `d3.csvParse`, plus a nested promise structure illustrating the "pyramid of doom." The data comes from a GitHub gist hosted CSV file.

PPatrick Byron Gattoc

Fork of Loading and Parsing CSV Data

This example loads and parses the CSS Named Colors CSV dataset, displaying summary statistics about the data—its size in kilobytes, row count, and column count—in a large text format. It uses D3 v5’s `d3.csv` function to fetch and parse the data from a GitHub Gist URL. The code also includes commented-out alternatives using the Fetch API with `async`/`await` and `d3.csvParse`, illustrating multiple approaches to CSV loading within a React-based visualization context.

Bbencooper6851

Fork of Loading and Parsing CSV Data

Bbencooper6851

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