{"version":"1.0","type":"rich","title":"Python","description":"This example presents a curated collection of e-commerce visualizations, allowing users to switch between nine distinct charts showing new cases over time, orders by state, order status proportions, and pre- vs. post-COVID comparisons. Users select a chart via buttons, which dynamically replaces the displayed image or canvas. The code loads remote SVG files generated externally and uses Chart.js for canvas-based bar charts, while managing display visibility through JavaScript DOM manipulation.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/0de774a15c044c23b65e1354dbd3a9e9?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}