论文标题

covid19.Analytics:一个R包,用于获取,分析和可视化冠状病毒大流行的数据

covid19.analytics: An R Package to Obtain, Analyze and Visualize Data from the Coronavirus Disease Pandemic

论文作者

Ponce, Marcelo, Sandhel, Amit

论文摘要

随着全球新大流行的出现,它的一种新型策略已经出现。 “开放科学”保护下的几项举措正在促成这种前所未有的情况。特别是,“统计计算的R语言和环境”为关注开放科学和可重现结果的方法提供了一种出色的工具和生态系统。因此,毫不奇怪,随着大流行的开始,大量的R包和资源可用于研究大流行的研究。在本文中,我们提出了一个R软件包,该软件包允许用户从公开可用的资源中访问和分析全球数据。我们将介绍COVID19.Analytics软件包,集中在其功能上,并提出一个特定的研究案例,其中我们描述了如何部署“ Covid19.Analytics dashboard Explorer”。

With the emergence of a new pandemic worldwide, a novel strategy to approach it has emerged. Several initiatives under the umbrella of "open science" are contributing to tackle this unprecedented situation. In particular, the "R Language and Environment for Statistical Computing" offers an excellent tool and ecosystem for approaches focusing on open science and reproducible results. Hence it is not surprising that with the onset of the pandemic, a large number of R packages and resources were made available for researches working in the pandemic. In this paper, we present an R package that allows users to access and analyze worldwide data from resources publicly available. We will introduce the covid19.analytics package, focusing in its capabilities and presenting a particular study case where we describe how to deploy the "COVID19.ANALYTICS Dashboard Explorer".

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