Design and Implementation of COVID-19 Data Analysis and Visualization System
DOI:
https://doi.org/10.54691/sjt.v4i11.2749Keywords:
Spring Boot Framework; Vue; Data Visualization; Echarts; COVID-19; Data Analysis; Data Crawling.Abstract
In order to facilitate the real-time analysis of COVID-19, a COVID-19 data analysis and  visualization system is designed and implemented, which acuqries data from Baidu epidemic platform. It displays the epidemic dynamics, new trends, cumulative diagnosis, diagnosis distribution and other information through a big visualization screen. This system adopts the front-end and back-end separation technology, uses Scrapy to acquire epidemic data, and stores the data in the MySQL database through cleaning, conversion and other steps. The back-end obtains data based on Spring Boot, and the front-end uses Vue technology to analyze the back-end data and display the epidemic data in ECharts diversified charts. The practice under the production environment proves that the system can meet the requirements of real-time display and has high scalability.
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