{"version":"1.0","type":"rich","title":"Scatterplot Matrix","description":"This scatterplot matrix visualizes pairwise correlations for multidimensional data on child rank relative to parent income quartile among California universities. Each cell is a scatterplot comparing two variables, with axes scaled per variable and formatted to show values in thousands or percentages. Points are colored by institution tier (e.g., Highly Selective, Selective) using an ordinal color scale, and circles are semi-transparent to reveal overlapping data. The matrix layout uses shared axes on the right and bottom, with categorical labels on the diagonal. The data comes from Anderson's iris dataset, though the visualization here is adapted for university income data. The example is built with D3 v3 and renders as SVG, with styling applied via CSS for crisp axis lines and capitalized cell labels. A title at the top reads \"Child Rank Relative to Parent Income Quartile for Universities in California.\" This implementation is a fork of Mike Bostock's scatterplot matrix block, using a custom dataset and color scheme to highlight tiers of selectivity.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-a735a244633fd9fd391d1de18573a2fc?mode=embed\" width=\"960\" height=\"960\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":960,"cache_age":3600}