{"version":"1.0","type":"rich","title":"Gist 225ed5c6d9fcd6b9b720","description":"This notebook analyzes FreeSurfer metrics from a brewery database, focusing on EUROTRIP study subjects. It melts the dataframe to iterate over variables and visualizes scanner and institution distributions using pandas and matplotlib’s inline plotting. The code filters by study tag, extracts sequence identifiers from subject IDs, and uses statsmodels for potential statistical modeling. It demonstrates a data-cleaning and exploratory workflow for neuroimaging quality metrics.","provider_name":"VizHub AI Studio","provider_url":"https://next.vizhub.com","html":"<iframe src=\"https://next.vizhub.com/viz/gist-225ed5c6d9fcd6b9b720?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"1\"></iframe>","width":960,"height":500,"cache_age":3600}