{"version":"1.0","type":"rich","title":"Churn data based on multi filters","description":"This visualization explores customer churn data from Kaggle, showing the relationship between estimated salary and credit score. An interactive brush on a binned salary histogram filters the main scatter plot, while dropdown and radio menus let users select specific countries and genders. The visualization uses vega-lite-api with D3.js to fetch CSV data, and employs interactive selections (interval brushing and single-point binding) to link the two views and adjust point opacity based on selection state.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/fa1cfacc2908471ab0c0e6c1aa55b575?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}