© DMT Competition
Award-winning Work Information & Description
Work Title
Visualization of Epidemic Data Based on Artificial Intelligence
Category
Data Visualization
Institution
Lanzhou University of Arts and Science
Team Members
Cai Rui, Fan Jing Jing, Dong Wen Yan, Han Zuo Ni
Award
Second Prize in the National Competition
Year
2022
Description
This work is mainly for a real-time update of epidemic data information visualization design, divided into three interfaces, the domestic epidemic data screening, linear regression analysis and visual display (epidemic data source for Tencent). Works design ideas: (1) Using the Python programming language, Flask Ajax is used to quickly build web pages to achieve the interaction between front and back data. (2) Adjust the page layout through CSS (3) The crawler technology is used to crawl the data. (4) using MySQL to store data files. (5) Using Echarts charts to realize the visual design of data. (6) Using the linear regression algorithm to analyze the number of new people and the number of deaths, and the fitted graph is plotted.