r region(2)
{.tabset .tabset-fade .tabset-pills}top30(my.corona, 'confirmed')
top30(my.corona, 'death')
my.corona %>% top30.data('confirmed') %>% datatable(rownames = FALSE)
my.corona %>% top30.data('death') %>% datatable(rownames = FALSE)
This visualization shows the number of cases/deaths per 100k of the population.
r region(1, TRUE)
r region(2)
death.vs.cases.plot(death.vs.cases, state.filter = countries, expand = FALSE)
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