Abstract: As a new interdisciplinary research field, visual analysis techniques for big data on food safety can help field researchers to observe the data distribution trends and explore the implicit relationships among data rapidly through advanced interactive visualization tools. So that it can enhance human's cognitive ability and analysis ability, and improve scientificity and effectiveness of the food safety supervision and management. In this paper, we first introduce the necessity of visualization and analysis requirements of food safety data, then describe the common characteristics of food safety data, such as high dimension, multivariate, hierarchy, geo-temporal and association, gives the survey of the existing visualization and visual analysis techniques and systems that are suitable for food safety data. And last, we give the future development trend of food safety data visualization and visual analytics techniques.