TL;DR
The paper introduces the covid19.analytics R package, which enables users to access, analyze, and visualize global COVID-19 data, supporting open science and reproducible research during the pandemic.
Contribution
It presents a new R package that consolidates COVID-19 data analysis and visualization tools, facilitating research and decision-making.
Findings
The package provides comprehensive data access and analysis features.
It includes a dashboard for interactive COVID-19 data exploration.
Demonstrates practical application through a case study.
Abstract
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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