Urban mobility is constantly changing. Bikesharing has been used more and more in large cities for several years now, allowing bikes to be rented and parked flexibly throughout the city. How can the collected data help in urban planning and create insights into usage and frequency in the Berlin area? The interactive visualization, optimized for touch screen, enables the user to explore the potential of shared mobility services for each district of Berlin and to analyze the usage over time. The intent is to create interest and consciousness through an overview of rental bike offers in Berlin through a data-driven immersive interface. Micro scenarios provide additional information about the spatial conditions of Berlin. The project is part of the permanent exhibition of CityLAB Berlin from June 2019. It was also exhibited at the techDetector conference in Berlin in September 2019, organized by GiZ. A backend infrastructure was developed to process the bike-data on a daily basis by public APIs of the providers Lidl-Bike and Next-Bike. A set of scripts analyse and transform the bike rides and bring them into the correct formats.