In New York City, cultural diversity has promoted the growing number of restaurants. However, food sanitation has always been a concern for public health. The project focuses on discovering whether violation results from restaurants inspections would have any strong correlations with food poisoning. Restaurants inspection results from DOHMH and 311 complains are used and analyzed through random forest ensemble learning method. The results indicate that violations found in food sourcing and restaurant facility design have stronger correlation than other factors regarding foodborne illness incidents.