While at VHB, I developed this tool, built on RShiny, which integrates publicly available GTFS (General Transit Feed Specific) Data with transit provided ridership data by way of APC (Automatic Passenger Count) data and operations data by AVL (Automatic Vehicle Location) data. The tool allows users to explore the data spatially, temporally, directionally, and as a network allowing users to understand macro level trends, but also dig into micro-level trends within the data. The tool visualizes routes and stops based on the desired variable of interest including: Passenger Boardings, Passenger Alightings, Average Vehicle Dwell, Departures, Passenger Volume, Average Passenger Load, Volume to Capacity, Schedule Adherence, Average Travel Time, and Average Speed.