{"version":"1.0","type":"rich","title":"Fork of Loading and Parsing CSV Data","description":"This example demonstrates a minimal interface that summarizes a CSV file’s key statistics: its size in kilobytes, the number of rows, and the number of columns. It fetches a remote dataset of CSS named colors from a GitHub gist using the `d3.csv` method, which returns a promise that resolves to a parsed data table. The code then calculates the metrics using `d3.csvFormat` and the data array’s length and `columns` property. The final message is rendered as oversized text inside a `<pre>` element, with an alternative commented-out approach using `fetch`, `async`, and `await` for comparison.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/af7fbaa3caf04f69b048fe9788107891?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}