{"version":"1.0","type":"rich","title":"Gist 9556811","description":"This example simulates brain volume and disability data for healthy controls and multiple sclerosis patients across two sites, generating synthetic datasets with site-specific EDSS distributions. It uses Python with statsmodels and matplotlib via prettyplotlib to plot the simulated distributions, including scatterplots and regression fits that illustrate relationships between age, brain volume, and EDSS scores. The visualization is part of a Vue-based gallery, but the core computation and plotting rely on numpy and statsmodels for statistical simulation and visualization.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-9556811?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}