{"version":"1.0","type":"rich","title":"CSV Data","description":"This example visualizes aggregated popularity by music genre using CSV data loaded from a remote GitHub URL. The bar chart shows how track popularity sums vary across genres, with each genre represented as a distinct bar. The code uses d3.csv to fetch and parse the dataset, then d3.nest and d3.sum to group records by track_genre and calculate total popularity. The visualization runs in a React framework with D3 v5, though the displayed output relies solely on the data aggregation logic without additional chart rendering.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/549adf47d4d542e2bb1970fb5bb73fbc?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}