{"version":"1.0","type":"rich","title":"Scatterplot Matrix","description":"This scatterplot matrix visualizes pairwise correlations across six quantitative variables (k_median and five rank-conditional metrics) for 30 observations, colored by tiername (Highly selective vs. Nonselective). Each cell in the matrix is a scatterplot of two traits, with axes scaled independently to their domains. Diagonal cells display trait names as bold capitalized labels. The visualization, built with D3 v3 and SVG, includes axes with tick marks, light gray gridlines, and semitransparent circles colored by category. The data comes from a CSV of college rankings and selectivity categories. This example forks Mike Bostock's scatterplot matrix block, itself based on Anderson's iris flower data, and adapts it for the given dataset.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-b76e2b3f91247351308da0ec88b1e4d3?mode=embed\" width=\"960\" height=\"960\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":960,"cache_age":3600}