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Grouped barplot for the countries were testing and confirmed cases are available.
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# covid19 <- data.table::fread("https://covid.ourworldindata.org/data/full_data.csv") | |
# source: https://ourworldindata.org/coronavirus-source-data | |
# covid_test_coverage <- data.table::fread("covid-19-tests-country.csv") | |
# source: https://ourworldindata.org/coronavirus#current-covid-19-test-coverage-estimates | |
# total_confirmed_cases <- data.table::fread("total_cases.csv") | |
library(ggplot) | |
library(plotly) | |
# dput dump for getting the dataframe fast | |
toPlot <- structure(list(countries = structure(c(26L, 13L, 26L, 13L, 22L, | |
28L, 8L, 14L, 14L, 3L, 19L, 8L, 2L, 28L, 17L, 17L, 27L, 19L, | |
29L, 6L, 11L, 16L, 6L, 2L, 24L, 16L, 5L, 21L, 27L, 3L, 12L, 5L, | |
7L, 7L, 29L, 9L, 10L, 23L, 11L, 10L, 20L, 24L, 25L, 12L, 20L, | |
21L, 15L, 4L, 18L, 22L, 4L, 1L, 23L, 9L, 25L, 18L, 1L, 15L), .Label = c("Armenia", | |
"Austria", "Bahrain", "Croatia", "Czech Republic", "Denmark", | |
"Finland", "France", "Hungary", "Iceland", "India", "Ireland", | |
"Italy", "Japan", "Lithuania", "Malaysia", "Netherlands", "New Zealand", | |
"Norway", "Philippines", "Poland", "Russia", "Slovakia", "Slovenia", | |
"South Africa", "South Korea", "Thailand", "United Kingdom", | |
"Vietnam"), class = "factor"), metric = c("test", "confirmed", | |
"confirmed", "test", "test", "test", "confirmed", "test", "confirmed", | |
"test", "test", "test", "test", "confirmed", "test", "confirmed", | |
"test", "confirmed", "test", "confirmed", "test", "test", "test", | |
"confirmed", "test", "confirmed", "test", "test", "confirmed", | |
"confirmed", "test", "confirmed", "confirmed", "test", "confirmed", | |
"test", "test", "test", "confirmed", "confirmed", "test", "confirmed", | |
"test", "confirmed", "confirmed", "confirmed", "test", "test", | |
"test", "confirmed", "confirmed", "test", "confirmed", "confirmed", | |
"confirmed", "confirmed", "confirmed", "confirmed"), count = c(248647, | |
145413, 119049, 86011, 76963, 29764, 25931, 10205, 9941, 9201, | |
8000, 6628, 6582, 6325, 6000, 5488, 5232, 4854, 4588, 4309, 4058, | |
4010, 3839, 3680, 3058, 2549, 2353, 2234, 1941, 1850, 1784, 1069, | |
958, 900, 890, 858, 856, 853, 824, 799, 717, 713, 645, 638, 626, | |
481, 366, 344, 338, 295, 269, 211, 189, 166, 157, 67, 54, 48)), class = c("tbl_df", | |
"tbl", "data.frame"), row.names = c(NA, -58L)) | |
gg <- ggplot(toPlot, aes(fill=metric, | |
y=count, | |
x=countries)) + | |
geom_bar(position="dodge", stat="identity") + | |
theme(text = element_text( color = "#4A637B", face = "bold", family = 'Helvetica') | |
,plot.caption = element_text(size = 9, color = "#8d99ae", face = "plain" ) | |
,plot.title = element_text(size = 18, color = "#2b2d42", face = "bold", hjust=0.15 ) | |
,axis.text.y = element_text(size = 10, color = "#8d99ae", face = "bold", hjust=1.1 ) | |
,axis.title.x = element_text(size = 14 , hjust = 0.15 ) | |
,axis.text.x = element_blank() | |
,axis.title.y = element_blank() | |
,axis.ticks.x = element_blank() | |
,axis.ticks.y = element_blank() | |
,plot.margin = unit(c(1,1,1,1),"cm") | |
,panel.background = element_blank() | |
,legend.position = "none" | |
,aspect.ratio = 0.75) + | |
theme_light() + | |
scale_fill_manual(values = c("#f35f71", "#4974a5")) + coord_flip() | |
plotly::ggplotly(gg) |
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