The visual analysis and display of global epidemic big data takes the overall situation of the national epidemic as the starting point to analyze the national epidemic data, and uses the most intuitive expression means to reduce the cognitive load of users and improve the decision-making efficiency and accuracy of decision-makers. It can also be used by all sectors of society to access the epidemic data and perceive the real-time interactive situation of the epidemic situation, so as to visually display the multi-dimensional information and trend of the epidemic situation, provide an efficient view of information for epidemic prevention and control. Use Python language, use its related extension library and Web technology to visualize data processing and data management. With the help of Python's rich open source toolkit and powerful third-party crawler library requests and selenium, the program is written to quickly obtain national epidemic data by calling Tencent epidemic data interface. After analyzing and processing the data, it is stored in MySQL database. Combined with Apache ECharts data visualization tool, the data is finally presented in a simple and intuitive visual large screen mode for epidemic prevention staff to analyze and make decisions, for the people to visually view the epidemic situation.