基于网络爬虫疫情数据分析及可视化系统的设计与实现

Design and implementation of epidemic data analysis and visualization system based on internet worm

为了将信息清晰地呈现并实时跟踪数据的变化,数据可视化可以更准确地发现数据背后的问题。而数据可视化系统具有数据接入、数据处理、可视化展示等功能,能够帮助人们更轻松地实现可视化过程。文中以Python爬虫获取疫情数据为例,利用Matplotlip和Numpy库工具对疫情数据进行分析,借用ECharts图表库以及JS前端框架将数据以直方图、饼图、柱形图等图表的形式进行展示,设计出一款疫情数据分析及可视化系统。通过测试使用,该系统界面友好、易操作,数据更新及时,方便查看世界疫情的实时数据以及疫情在中国的状态,及时了解当前各地疫情的动态信息,起到提醒和警示作用。

In the era of big data, in order to clearly present the information and track the changes of data in real time, data visualization can help people find the problems behind the data more accurately.The data visualization system provides data access, data processing, visual display and other functions, which can help you realize the visualization process more easily.Taking Python crawler to obtain epidemic data as an example, this paper analyzes epidemic data by using matplotlip and jumpy library tools, uses echarts chart library and JS front-end framework to display the data in the form of histogram, pie chart, column chart and other charts, and designs an epidemic data analysis and visualization system.Through test use, the system has friendly interface, easy operation and timely data update.People can see the real-time data of the world epidemic situation and the status of the epidemic situation in China, which can help the masses understand the real-time dynamic information of the current epidemic situation, remind and warn people, and facilitate people to prepare for travel in advance.