Nothing
library(covid19br)
library(dplyr)
brazil <- downloadCovid19("brazil")
regions <- downloadCovid19("regions")
states <- downloadCovid19("states")
cities <- downloadCovid19("cities")
# Downloading world COVID-19 data:
world <- downloadCovid19("world")
# adding the geometry/epidemiological rates to the data:
regions <- readRDS("regions.rds")
regions_geo <- regions %>%
filter(date == max(date)) %>%
add_geo() %>%
add_epi_rates()
states <- readRDS("states.rds")
states_geo <- states %>%
filter(date == max(date)) %>%
add_geo() %>%
add_epi_rates()
cities <- readRDS("cities.rds")
cities_geo <- cities %>%
filter(date == max(date)) %>%
add_geo() %>%
add_epi_rates()
world_geo <- world %>%
filter(date == max(date)) %>%
add_geo() %>%
add_epi_rates()
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