{"version":"1.0","type":"rich","title":"Loading and Parsing Coronavirus Data","description":"This example demonstrates how to load and parse the Johns Hopkins Coronavirus Dataset using D3 v6. The visualization displays three key statistics about the CSV file: its size in kilobytes, the number of rows, and the number of columns. The code uses `d3.csv` to asynchronously fetch the data from a GitHub URL, then leverages `d3.csvFormat` to calculate file size and accesses `data.columns` and `data.length` for column and row counts. Results are rendered as text in an HTML `<pre>` element using standard DOM methods.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/7a3506ee85bc4dc2a223e43b3c32947b?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}