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. 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 the basic mechanics of loading and parsing CSV data in D3. It fetches a dataset of CSS named colors from a GitHub gist and displays three summary statistics: file size in kilobytes, row count, and column count. The primary implementation uses D3 v5’s `d3.csv` method, which returns a promise, while commented alternatives show equivalent code using the Fetch API with `async`/`await` and `d3.csvParse`. The output is rendered as plain text inside a large `<pre>` element.

CCheng Tang

Fork of Loading and Parsing CSV Data

CCheng Tang

Fork of Loading and Parsing CSV Data

This example shows the loading and parsing of a CSV file containing CSS named colors. The visualization displays three key statistics about the dataset: its size in kilobytes, the number of rows, and the number of columns. The code uses the D3.js v5 library’s `d3.csv` method to fetch and parse the remote CSV data from a GitHub gist. Alternatively, commented-out code demonstrates the same task using the Fetch API with async/await and `d3.csvParse`, highlighting two distinct approaches to loading tabular data.

Nnonbots

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 displays basic statistics about a CSV dataset containing CSS named colors, including file size, row count, and column count, rendered as large text in the browser. It demonstrates two alternative approaches for loading and parsing CSV data: one uses `d3.csv` with promises from D3 v5, while the other, commented out, uses the Fetch API with `async` and `await` combined with `d3.csvParse`. The data is fetched from a remote GitHub Gist URL.

Cchar0496

Ssrideshhimalka@gmail.com

Fork of Loading and Parsing CSV Data

This example demonstrates loading and parsing CSV data by fetching the CSS Named Colors dataset and displaying its size, row count, and column count in large text. Using D3.js v5, the code calls `d3.csv` to retrieve and parse the remote CSV file, then formats the summary with `d3.csvFormat` and measures the data length. It also includes commented-out alternatives using `fetch` with asynchronous `await` syntax. The rendered output shows three lines of aggregate statistics, with the data source pulled from a GitHub Gist.