Fork of Loading and Parsing CSV Data

Fork of Loading and Parsing CSV Data

This example demonstrates the process of loading and parsing CSV data from a remote URL. It fetches a dataset of CSS named colors and displays basic statistics—file size, row count, and column count—in a large preformatted text element. The code uses the native `fetch` API with `async`/`await` to retrieve the text, then parses it with `d3.csvParse` from D3 v5. The page also includes commented-out alternatives using `d3.csv` and a nested promise chain.

MMarcelo Albuquerque

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 in a large text element. It uses `d3.csv()` with promises to fetch the CSS Named Colors dataset, then calculates the formatted CSV length in kilobytes using `d3.csvFormat`. The visualization also includes commented-out alternatives using `fetch`, `async`/`await`, and `d3.csvParse`, as well as a nested promise example, illustrating different approaches to asynchronous data loading in D3 v5.

CCecilia831

Fork of Loading and Parsing CSV Data

CCecilia831

Fork of Loading and Parsing CSV Data

This example demonstrates loading and parsing CSV data from a remote URL using the Fetch API and D3 v5’s `d3.csvParse` function. It fetches a list of CSS named colors, converts the raw text into a structured data array, and logs the file size, row count, and column count to the browser console. The code includes commented-out variations showing alternative patterns like async/await and nested callbacks. No visualization is rendered on screen; the output is purely diagnostic via `console.log`.

Aalitemel89

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 from a remote URL, displaying the file size in kilobytes, row count, and column count as plain text. It uses the `d3.csv` function from D3 v5 to fetch and parse the CSS Named Colors dataset. The code also includes commented-out alternatives using `fetch`, async/await, and `d3.csvParse`, showing different approaches to handling asynchronous data loading. The visualization itself is minimal, prioritizing the data-loading process over graphical representation.

Aalfredwang0707

Fork of Loading and Parsing CSV Data

This example demonstrates loading and parsing CSV data by fetching a dataset of CSS named colors and displaying basic statistics about it. The code uses the Fetch API with async/await to retrieve the data, then parses it with d3.csv, which returns a promise. It computes the file size in kilobytes, row count, and column count from the parsed data, displaying these values in a large pre-formatted text element. The visualization also includes commented-out code showing an alternative approach using d3.csvParse on raw text.

AAlex Gomes

Fork of Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data using D3.js v5, fetching a remote dataset of CSS named colors. The visualization displays summary statistics about the dataset, including its size in kilobytes, row count, and number of columns, rendered as large text. The code specifically uses `d3.csv` with a Promise-based `.then()` method to fetch and parse the data, alongside `d3.csvFormat` and `d3.csvParse` for formatting and parsing operations. It also includes commented-out alternatives using the Fetch API with `async`/`await` and a nested callback approach.

Wwzhang88