{"version":"1.0","type":"rich","title":"Diabetes Dataset in Vega-lite","description":"A grouped bar chart visualizes an early-stage diabetes risk prediction dataset from UCI, showing the number of patients across age groups, separated by gender and diabetes status. The data is loaded from a Gist-hosted CSV via d3.csv in getData.js, then rendered using the vega-lite-api with a bar mark, encoding age on the x-axis, patient count on the y-axis, and a combined Gender_Diabetes field for color. The visualization uses Vega-Lite’s opacity channel and custom axis styling from config.js, with tooltips displaying patient counts.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/ac041c5b41ad400a9f1867729187be9b?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}