{"version":"1.0","type":"rich","title":"Crossfilter Examples","description":"This example demonstrates how Crossfilter can be used to group and summarize a small dataset of car specifications. Using d3.csv.parse, the embedded CSV data (13 car models with attributes like cylinders, displacement, and horsepower) is loaded into a Crossfilter instance. A dimension is created on the number of cylinders, and a group with the default count reduction tallies how many cars fall into each cylinder category. The results are rendered as a simple list of text divs under a Bootstrap well, showing each cylinder count and the number of matching cars (e.g., \"Cars with 4 cylinders: 4\"). It illustrates Crossfilter's core dimension and group workflow with a minimal D3 binding.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-c01962ccc914ddcc4bcf54ea7a399acb?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}