Fork of Loading and Parsing CSV Data

Fork of Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data using D3 v5’s `d3.csv` method, which returns a promise. It fetches a dataset of CSS named colors from a GitHub gist and displays the file size in kilobytes, the number of rows, and the number of columns in large text. The code also includes commented-out alternatives using `fetch`, `async`/`await`, and `d3.csvParse` for comparison, highlighting different asynchronous patterns for handling data loading in a React-based visualization context.

Ppnlinyz

Fork of Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data using D3 v5. It fetches a CSS Named Colors dataset from a GitHub gist and displays its size (in kilobytes), row count, and column count in a large text area. The primary implementation uses `d3.csv` with promise handling, while commented-out alternatives show equivalent approaches using `fetch` with `async`/`await` and `d3.csvParse`. The visualization is minimal, focusing on data loading mechanics rather than graphical representation.

Kkiranshashi

Fork of Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data using D3’s `d3.csv` method, which returns a promise. It fetches a dataset of CSS named colors from a GitHub gist, then displays the file size in kilobytes, the row count, and the column count in a large-format text element. The code also includes commented-out alternatives using `fetch` with `async`/`await` and `d3.csvParse`, illustrating different approaches to the same task. The visualization is purely text-based, with no graphical rendering.

EEdgar Alves

Fork of Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data using D3 v5. It fetches a dataset of CSS Named Colors from a GitHub gist and displays key statistics: the file size in kilobytes, the number of rows, and the number of columns. The code primarily uses `d3.csv()` with a Promise-based `.then()` callback, though commented-out alternatives show fetching text with `fetch()` and `async/await`, plus `d3.csvParse()` for manual parsing. The output renders as plain text inside a `<pre>` element.

Hhung2606

Fork of Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data, displaying a summary of the dataset’s size in kilobytes, row count, and column count. It fetches CSS named colors from a GitHub gist and processes the data using `d3.csv` with promises in D3 v5. The code includes commented alternatives using `fetch`, `async`/`await`, and `d3.csvParse`, illustrating different asynchronous approaches. The result updates a plain text element, showing the parsed data’s dimensions without any chart rendering.

IIsaac Yuen

Fork of Loading and Parsing CSV Data

This example demonstrates the fundamentals of loading and parsing CSV data using D3.js version 5. It fetches the CSS Named Colors dataset from a GitHub Gist and displays a simple text summary of the file size in kilobytes, row count, and column count. The primary approach uses the `d3.csv` function to fetch and parse the remote CSV file, leveraging Promise-based asynchronous handling. The code also includes commented-out alternatives using native `fetch` with `async`/`await` and the `d3.csvParse` function, alongside a nested Promise "pyramid of doom" example. The output is rendered as large text within an HTML `<pre>` element.

HHind ELMASSAOUDI

Fork of Fork of Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data using D3 v5 and the Fetch API, displaying a summary of the dataset’s size, row count, and column count on a page. The code uses `d3.csv` with a Promise chain to fetch CSS Named Colors data from a GitHub gist, then computes the file size in kilobytes via `d3.csvFormat`. An alternative commented-out approach uses `async`/`await` with `fetch` and `d3.csvParse` to achieve the same result, highlighting both modern JavaScript patterns for handling asynchronous data loading.

CCecilia831

Fork of Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data using D3 v5 and React. It fetches a dataset of CSS Named Colors from a GitHub gist and displays the file size, row count, and column count in a large text block. The primary implementation uses `d3.csv` with a promise, while commented alternatives show equivalent approaches using `fetch` with `async`/`await` and `d3.csvParse`, highlighting different asynchronous patterns. The interface presents the parsed data summary without any visual chart.

JJONATHAN SIMON