{"version":"1.0","type":"rich","title":"Loading and Parsing Coronavirus Data","description":"This example demonstrates how to load and parse a global coronavirus deaths time-series dataset. It fetches CSV data from the Johns Hopkins CSSE GitHub repository using the `d3.csv` method, which returns a Promise. After loading, the program computes and displays summary statistics—the file size in kilobytes, the number of data rows, and the number of columns—within a large HTML `<pre>` element. The visualization uses D3 v5’s `csvFormat` to calculate the byte length of the formatted data, highlighting a straightforward data-processing workflow without any graphical chart.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/cdff50ebacf543b3ba33432ce532e056?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}