Flight delays represent a significant issue to airline profits and passenger satisfaction. Many factors can lead to a flight being delayed and/or canceled. The study evaluates flight delays, cancellations, and incident data with the goal of visualizing which airports, airlines, and cities, to visualize or states are experiencing the highest number of flight disruptions relative to others. Databases are commonly used for data analysis to allow pattern recognition and large data distribution and organization. The study will mainly serve the purpose of flight data retrieval, the compilation of data and database design, and finally output data visualizations.