Fork of Loading and Parsing CSV Data

Fork of Loading and Parsing CSV Data

This visualization demonstrates the size and structure of a CSV dataset containing CSS named colors. It displays the file size in kilobytes, the number of rows, and the number of columns in a large text readout. The code fetches the remote CSV file using `d3.csv`, then calculates the formatted byte count with `d3.csvFormat` and accesses the parsed data’s length and column information. The example also includes commented-out alternatives using `fetch`, async/await, and `d3.csvParse` to show different parsing workflows.

TTakuya Kitazawa

Fork of Loading and Parsing CSV Data

This visualization demonstrates the size and structure of a CSS Named Colors CSV dataset by displaying its file size in kilobytes, row count, and column count in large text. The example highlights two approaches to loading data: using the D3.js `d3.csv` function, and an alternative method with JavaScript's native `fetch`, `async`, and `await`, along with `d3.csvParse`. The data originates from a GitHub Gist containing named CSS colors, and the output is rendered into a preformatted HTML element.

AAnthony Zornig

Fork of Loading and Parsing CSV Data

This example displays the size and structure of a CSS Named Colors CSV dataset by rendering three statistics—kilobytes, row count, and column count—in a large monospace font. Using D3 v5, the code loads the remote CSV file via `d3.csv()` and formats the output with `d3.csvFormat()`. It also includes commented alternatives using the Fetch API with `async/await` and `d3.csvParse()`, alongside an older nested-promise pattern, to illustrate different parsing approaches. The visualization itself is minimal, focusing on the data-loading process rather than graphical representation.

Jjasonamey

Fork of Loading and Parsing CSV Data

Jjasonamey

Fork of Loading and Parsing CSV Data

This visualization displays the size and structure of a CSV dataset containing CSS named colors, reporting its file size in kilobytes, row count, and column count as large text. It demonstrates two equivalent approaches for loading and parsing CSV data: the primary method uses `d3.csv` with a Promise, while commented alternatives show `fetch` combined with `async`/`await` and `d3.csvParse`. The data originates from a GitHub gist containing named color values. The example highlights modern asynchronous JavaScript patterns for handling external data in D3 v5.

Hhuashe418

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 displays the size and structure of a CSS Named Colors CSV dataset in a large text block. It uses d3.csv to fetch and parse the data, then computes and presents the file size in kilobytes, the total row count, and the number of columns. The visualization also includes commented code showing alternates using fetch with async/await and d3.csvParse, demonstrating different approaches to loading CSV data in D3 v5 within a React framework.

Llit86hlp

Fork of Loading and Parsing CSV Data

This example demonstrates the size and structure of a CSV file containing CSS named colors using text-based output. The visual shows three metrics: the file size in kilobytes, the number of data rows, and the number of columns. The primary implementation employs `d3.csv()` from D3 v5, which loads and parses the remote CSV data asynchronously, with the results displayed in a large HTML `<pre>` element. The code also includes commented alternatives using the Fetch API with async/await and `d3.csvParse()` for comparison.

Aadamacass