基于疫情部分数据的数据可视化的实现

Implementation of data visualization: based on some epidemic data

2020年新冠肺炎疫情在极短时间内蔓延至全球,社会对疫情数据及信息的需求十分迫切。此时,各级政府部门通过多种渠道及时发布了相关数据,如何利用数据分析手段为公众提供疫情数据的解读分析,配合政府的开展防疫措施迫在眉睫。文章利用Python对新冠疫情数据进行分析和处理,作者详细说明了数据可视化的流程以及相关操作,并对相关代码进行说明;利用TipdmBI数据可视化平台设计数字大屏,并展示新冠疫情的时空变化,绘制城市新冠疫情风险图;利用时间序列模型,对国内外疫情变化情况进行分析和预测。文章结尾描述了数据可视化在新闻设计、医学、气象工程、数据挖掘等方面的应用。

In January 2020, the new coronavirus epidemic spread in a very short period of time across the globe. Faced with the urgent need of the society for information on the epidemic, government departments at all levels released relevant first-hand data in a timely manner through various channels, it is of great significance to provide the public with the interpretation and analysis of epidemic data by means of various analysis methods and cooperate with the government to carry out epidemic prevention measures. In this paper, Python is used to analyze and process the data of the new crown epidemic situation, and the data visualization platform is used to design a digital large screen to show the spatial and temporal changes of the new crown epidemic situation, to draw the risk map of the city, to analyse new crown epidemic situation, and to use the time series model. The changes of epidemic situation at home and abroad were analyzed and predicted.