{"version":"1.0","type":"rich","title":"Basic Scatter Plot","description":"This scatter plot visualizes the Wisconsin breast cancer dataset, plotting two key measurements—radius mean and texture mean—for each cell nucleus. Benign and malignant samples are distinguished by color, with a color legend generated using d3-legend. The visualization reveals two distinct clusters corresponding to the diagnostic classes, rendered as SVG circles via D3 v4. The data, originally from the UCI Machine Learning Repository, includes 30 computed features for each nucleus, though only two are shown here to illustrate the separation between benign and malignant cases.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-fc7b249b6a5ba80ffbd599657f150ab2?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}