{"version":"1.0","type":"rich","title":"Boston Housing Dataset Part II","description":"This visualization explores the Boston Housing dataset by splitting it according to the `rad` variable (accessibility to highways), which clusters at values 1–8 or 24. Four scatterplots compare house price (`medv`) against `rad` and lower-status population percentage (`lstat`), with circle size encoding proximity to the Charles River (`chas`) and color indicating average room count (`rm`). Built with the `vega-lite-api` and rendered using Vega-Lite, the plots load CSV data from a Gist and are configured via a custom `config.js`. The author uses `vl.markPoint`, `vl.markSquare`, and `vl.markCircle` to distinguish the visualizations.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/5d4cb3db1233407a8f2bb3046977d8f6?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}