The paper introduces the status quo of researches on data visualization, common visualization tools, and existing application platforms of data visualization. Based on the status analysis, it designs a data visualization system for tumer epidemiology with good interactivity, dynamics and extendibility. This system can analyze data from multiple angles, use different visualization dimensions to display data, and provide a theoretical basis and design idea for practical construction of visualization systems.