Project done during Spring 2019 season made public based on March Madnesss season. Data extracted, tidied, and loaded into visualizations all from scratch through word clouds and linear regressions to rank severity of fan engagement for each March Madness game via Twitter API, ShinyR web application, and streamlined data.
Used import->tidy->transform->visualize->model->communicate mechanism.