An R Package to Obtain, Analyze and Visualize Data from the Corona Virus Disease Pandemic

by   Marcelo Ponce, et al.

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 package, focusing in its capabilities and presenting a particular study case where we describe how to deploy the "COVID19.ANALYTICS Dashboard Explorer".



page 15

page 20

page 22

page 25

page 28

page 29

page 30

page 37


A complex network analysis of the Comprehensive R Archive Network (CRAN) package ecosystem

Free and open source software package ecosystems have existed for a long...

Pacloud: Towards a Universal Cloud-based Linux Package Manager

Package managers are a very important part of Linux distributions but we...

I Know What You Imported Last Summer: A study of security threats in thePython ecosystem

The popularity of Python has risen rapidly over the past 15 years. It is...

An Overview of Ontologies and Tool Support for COVID-19 Analytics

The outbreak of the SARS-CoV-2 pandemic of the new COVID-19 disease (COV...

An Empirical Analysis of the R Package Ecosystem

In this research, we present a comprehensive, longitudinal empirical sum...

wTO: an R package for computing weighted topological overlap and consensus networks with an integrated visualization tool

Background: Gene co-expression network analyses have become a central ap...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.