Interactive visualizations of complex datasets are an important tool for data exploration, but finding relationships between variables in highly multivariate environments often requires domain-tailored combinations of visualization techniques. We address this challenge in the domain of air traffic flow analysis with a tool designed to show how days with air traffic management initiatives are influenced by the weather on those days and to explore how various day cluster analyses may provide insight into relationships between the measured weather events and air traffic management. Our tool, called Weatherbin, provides both a broad overview of the day clusters as well as a detailed view of the weather conditions on any individual day, with interactive features to connect day details back to overall cluster averages.