{"version":"1.0","type":"rich","title":"ICE5-Q3","description":"This example demonstrates loading a CSV dataset of traffic accident predictions from a remote URL, parsing it with `d3.csvParse`, and displaying key statistics about the file, including its size in kilobytes, row count, and column count. It then renders a preview table of the first five rows of data, with column headers generated dynamically from the parsed data's `columns` property. The visualization uses D3 v7’s `select`, `append`, and `enter` APIs to build the HTML table, styled with custom CSS for a clean, readable layout.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/0ad551e1d8494e1db494c61163d73eea?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}