{"version":"1.0","type":"rich","title":"Association Rule","description":"This visualization demonstrates association rule mining, showing how transactional data can be analyzed to identify item sets and their support values. The interface displays a transaction table, item set frequencies, and calculated support percentages, along with generated association rules that express confidence levels such as \"if someone buys X, they are Y% likely to buy Z.\" The application uses AngularJS controllers and directives (ng-app, ng-controller, ng-repeat) to manage the interactive file upload and dynamically update the tables, while relying on JavaScript for the association rule algorithm and Bootstrap theming for styling.","provider_name":"VizHub AI Studio","provider_url":"https://vizhub.com","html":"<iframe src=\"https://vizhub.com/viz/6c83d990fa494a51bdc12dbf152f171c?mode=embed\" width=\"960\" height=\"500\" scrolling=\"no\" frameborder=\"0\"></iframe>","width":960,"height":500,"cache_age":3600}