Explore the spread of Covid-19 interactively — shiny_covid19

A shiny based web app that allows users to customize the plot_covid19_spread display. The display has been inpired by the displays created by John Burn-Murdoch for the Financial Times. You can use it to customize your plot_covid19_spread() display as it allows copying the plot generating code to the clipboard, thanks to the fine rclipboard package.

shiny_covid19_spread(plot_options = list(), ...)

Arguments

plot_options	A named list containing parameters to initialize the plot in the shiny app. All parameters of `plot_covid19_spread()` are supported.
...	Parameters that will be parsed on to `runApp`.

Details

Uses data from the Johns Hopkins University CSSE team on the spread of the SARS-CoV-2 virus and the Covid-19 pandemic (https://github.com/CSSEGISandData/COVID-19), from the ACAPS governmental measures database (https://www.acaps.org/covid19-government-measures-dataset) and from the World Bank (https://data.worldbank.org). See the documentation of the separate download functions of the package for more detail.

Examples

if (FALSE) {
  shiny_covid19_spread()

  df <- download_merged_data(cached = TRUE)
  shiny_covid19_spread(
    plot_options = list(data = df, highlight = c("USA", "ESP", "ITA"))
  )
}