{"version":"1.0","type":"rich","title":"Loading and Parsing Coronavirus Data","description":"This example demonstrates how to load and parse a COVID-19 time-series dataset from the CSSE at Johns Hopkins University using D3 v5. It displays the file size in kilobytes, the number of rows, and the number of columns in a large preformatted text element. The code relies on the `d3.csv` method to fetch and parse the data asynchronously, then uses `d3.csvFormat` to measure the formatted output size. The visualization is minimal, focusing solely on the parsed dataset's metadata rather than any chart or graphical representation.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/ee27878cb1974245a8492e6c8b36d4f6?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}