{"version":"1.0","type":"rich","title":"wine_mc_example","description":"This example visualizes a filtered subset of wine data, highlighting wines with high alcohol content (above 14), intense color (color intensity over 7), and a hue greater than 1. The display focuses on three attributes—alcohol, color intensity, and hue—sorted in descending order of alcohol. Built with Python using pandas, the code renames the `color_intensity` column to `ci`, creates a binary `color_filter` column via `np.where`, applies queries to filter rows, and finally selects and sorts the relevant columns. The data originates from a gist by adiamaan92, and the visualization is rendered as a tabular or plotted output from the resulting DataFrame.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-d8ebee8937d271452def2a7314993b2f?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}