{"version":"1.0","type":"rich","title":"Loading and Parsing coronavirus data","description":"This example demonstrates how to load and parse the Johns Hopkins coronavirus time-series dataset using D3 v7's `d3.csv` method. It displays essential metadata about the fetched data in a large preformatted text block, including the number of rows, column count, and file size in kilobytes. The code computes these values by accessing `data.length`, `data.columns`, and measuring the length of the formatted CSV string via `d3.csvFormat`. The visualization serves as a practical demonstration of remote CSV loading and basic data inspection.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/e6dc316a7d894328a75f75a1a4a9e637?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}