This document discusses analyzing student behavior when watching interactive online courses. It presents the LIVE DataEvaluator, a Python application that generates visualizations of student interaction data from the iMoox online learning platform. The visualizations include tables of participant numbers, progress and certificates; viewership statistics; dropout rates; timestamps of student interactions; response times to questions; and changes in calculated attention levels. Diagrams then analyze retention, effectiveness, interactivity and attention over time. The goal is to better understand student engagement and learning experiences to improve online education.