{"version":"1.0","type":"rich","title":"Loading in Bank Failure Data","description":"This example demonstrates loading and displaying a dataset of Foodhub food orders and deliveries in New York City. It shows the raw parsed data as a JSON-like text block, using d3.csvParse to convert the fetched CSV file into an array of objects. The visualization handles asynchronous state management by setting a loading flag before fetching the data from a GitHub gist, then re-rendering once the data arrives. The code relies on d3-v7, specifically the csvParse and select functions, with the HTML title referencing bank failure data though the actual dataset describes restaurant orders.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/9f827e2404144cc5888eec6bfdf9ffa6?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}