Fork of Loading and Parsing CSV Data

Fork of Loading and Parsing CSV Data

This visualization demonstrates the structure of a CSV dataset containing CSS named colors. It uses D3.js version 5 to fetch and parse the remote CSV file, then displays the file size in kilobytes, the total row count, and the number of columns in the dataset. The example also includes commented-out code showing alternative approaches for loading the data using the Fetch API with async/await syntax and a nested promise structure. The final output is rendered as plain text within an HTML pre element.

BbeauMarko

Fork of Loading and Parsing CSV Data

This visualization displays basic statistics about a CSS Named Colors CSV dataset, showing the file size in kilobytes, row count, and column count. The code uses d3.csv to load and parse the data from a GitHub gist, then calculates metrics from the parsed result. It also demonstrates alternative approaches using the Fetch API with async/await and d3.csvParse, though these are commented out. The output is rendered as large text in a pre element using vanilla JavaScript.

Wweny1109

Fork of Loading and Parsing CSV Data

Wweny1109

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 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 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 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