{"version":"1.0","type":"rich","title":"Fork of #Utrecht2024 TASK: First steps in Svelte","description":"This example demonstrates a minimal Svelte setup for processing Gapminder data. It displays the raw dataset as JSON text after converting data types with `d3.autoType`, ensuring that numeric fields like population and GDP are parsed as numbers rather than strings. The visualization uses Svelte's reactive bindings to track the container's dimensions, though the current view shows no chart or filtering. The code reads from a CSV file and outputs the structured data directly, serving as a foundation for building more complex bubble charts with the library.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/693902871153484eb9f99e4b0ff671e0?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}