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DESCRIPTION
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DESCRIPTION
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Package: tidycovid19
Type: Package
Title: Download, Tidy and Visualize Covid-19 Related Data
Version: 0.0.0.9000
Authors@R: person("Joachim", "Gassen", role = c("aut", "cre"),
email = "gassen@wiwi.hu-berlin.de",
comment = c(ORCID = "0000-0003-4364-2911"))
Description: This package facilitates the download of current Covid-19 related
data from various sources, including the Johns Hopkins University CSSE
team, the Assessment Capacities Project (ACAPS), data on testing,
hospitalizations and vaccinations collected by the Our World in Data team,
Google Trends and movement data, Government measures provided by University
of Oxford and additional country-level data provided by the World Bank.
These data can be downloaded separately or in one merged data frame. In
addition, the package features some functions and shiny app to visualize
the country-level spread of Covid-19.
Depends: R (>= 2.10)
License: MIT + file LICENSE
Imports:
xml2, rvest, readxl, magrittr, dplyr, tidyr, countrycode, ggplot2, wbstats,
gghighlight, gtrendsR, ggrepel, readr, rlang, scales, lubridate, shiny,
shinyWidgets, shinyjs, rclipboard, stringr, zoo, gganimate, transformr,
maps, methods
Remote: nset-ornl/wbstats
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1