{"version":"1.0","type":"rich","title":"Loading and Parsing CSV Data","description":"This example demonstrates how to load and parse a CSV file from a remote URL using D3.js. It fetches a dataset of CSS named colors stored as a GitHub gist and displays basic summary statistics about the file, including the total number of rows, column count, and approximate file size in kilobytes. The code uses the `d3.csv()` function to retrieve and parse the data asynchronously, then accesses the resulting array’s `length` and `columns` properties. The parsed output is converted back to CSV with `d3.csvFormat()` to calculate its size. A simple HTML `<pre>` element displays the final message, with styling applied via CSS.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/6a8929121c134a4bbb031afbc975e575?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}