Below is the R code used to generate this plot. It is modified from another script that pulls each case type file from Johns Hopkins so some of the organization is unnecessary.

   # Libraries
   library(extrafont)
   library(tidyverse)
   library(janitor)
   library(here)
   library(lubridate)
   library(ggtext)
   library(ggrepel)
   
   # COVID Case Data ---------------------------------------------------------
   
   
   folder_url = "https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/"
   
   # files = c("confirmed", "recovered", "deaths")
   
   
   # Because each file is in the folder, paste together the filenames
   case_urls = str_c(folder_url, 
                     # e.g. time_series_covid19_confirmed_global.csv
                     "time_series_covid19_", "confirmed", "_global.csv") %>% 
     # Setting names so we can map over each file later
     # set_names(files)
     set_names("confirmed")
   
   
   covid_data = imap_dfr(case_urls, 
                         ~read_csv(file = .x), 
                         .id = "case_type") %>% 
     select(`Province/State`, `Country/Region`, case_type, everything()) %>% 
     filter(`Country/Region` == "Andorra")
   
   covid_pivot = covid_data %>% 
     pivot_longer(cols = c(-1:-5), 
                  names_to = "date", values_to = "total_cases",
                  names_transform = list(date = mdy)) %>% 
     clean_names()
   
   
   # Make labels for the end of each quarter
   quarterly_labels = covid_pivot %>% 
     group_by(quarter(date, with_year = T)) %>% 
     filter(date == max(date))
   
   
   # Plotting ---------------------------------------------------------
   
   
   line_graph = covid_pivot %>% 
     ggplot(., aes(x = date, y = total_cases))+
     geom_line(colour = "#1f77b4", size = 1.3)+
     geom_text(data = quarterly_labels, 
               aes(label = scales::comma(total_cases)), 
               size = 6, colour ="#202122",
               family = "Arial",nudge_x = -9, nudge_y = 280)+
     scale_y_continuous(labels = scales::comma, 
                        expand = expansion(add = c(25,0)))+
     scale_x_date(date_breaks = "2 months", date_labels = "%b %y", 
                  expand = expansion())+
     coord_cartesian(xlim = range(covid_pivot$date), 
                     ylim = range(covid_pivot$total_cases), 
                     clip = "off")+
     labs(x = NULL, y = "No. of confirmed cases",
          title = "COVID-19 cases in Andorra", subtitle = str_c("Source: Johns Hopkins CSSE (as of ", stamp_date("Oct 20 1979")(today()), ")"))+
     # this is a custom theme function, but theme_minimal() or your favourite theming function will do just as well!
     theme_wiki(md=T, base_size = 16, plot_margin = margin(20,80,50,50))
   
   ggsave(line_graph, filename = here("plots", "wiki_covid_andorra.png"), dev = "png", width = 16, height = 8)

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