{"version":"1.0","type":"rich","title":"Episode 18 - Iterating Fast with Vega Lite API","description":"This example uses the Vega-Lite API to create an interactive scatter plot of automobile data from the UCI Machine Learning Repository’s Auto MPG dataset. The visualization encodes vehicle weight on the x-axis, horsepower on the y-axis, origin as color, and miles per gallon as point size, with tooltips showing car names. Built with `vl.markCircle`, `vl.x().fieldQ()`, and `vl.y().fieldQ()`, the chart renders via Vega and Vega-Lite, while d3.csv loads the data. Custom styling in `config.js` and a dark theme improve readability for presentation.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/8d0c85cf444c4fa5bb44e729042c42d0?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}