A Little More R in R

Couple of things were bothering me:

• the key wasn’t really a key it was a subtitle
• the title needs a date
• data wasn’t getting automatically downloaded
• column naming was a mess
• structure / formating of the ggplot was inconsistent

Sunday morning is the obvious time to fix such issues! Below is new plot, with a key, and built from data pulled from RKI.

And here is my updated script:

library(readr)
library(readxl)
library(ggplot2)

download.file("https://www.rki.de/DE/Content/InfAZ/N/Neuartiges_Coronavirus/Projekte_RKI/Nowcasting_Zahlen.xlsx?__blob=publicationFile", "Nowcasting_Zahlen.xlsx")
nz_data <- read_excel("Nowcasting_Zahlen.xlsx", sheet = "Nowcast_R")
names(nz_data) <- c("date","new","new_under","new_over","new2", "new2_under", "new2_over", "R", "R_under", "R_over", "R7", "R7_under", "R7_over")
g <- ggplot(data = nz_data)
g <- g + geom_line(mapping = aes(x = date, y = R, color = "4 day"))
g <- g + geom_ribbon(mapping = aes(x = date, y = R, ymin = R_under, ymax = R_over), alpha = 0.3)
g <- g + geom_line(mapping = aes(x = date, y = R7, color = "7 day"))
g <- g + geom_ribbon(mapping = aes(x = date, y = R7, ymin = R7_under, ymax = R7_over), alpha = 0.5)
g <- g + ggtitle(label = sprintf("R-effective for Germany (%s)", format(Sys.Date(), format = "%b %d %Y")))
g <- g + ylab("R") + xlab("Date")
g <- g + scale_color_manual(values = c('4 day' = 'firebrick', '7 day' = 'darkblue'))
g <- g + labs(color = 'Average')
g

Now might be a good time to go outside and not think about this!

A Little R in R

As usually happens when learning something new, it gets pointed out that while i might have achieved my goal, there is a far cooler way of doing the same thing! In this case that would be R.

Now it seems a shame to have got this far into a career without ever having played around in R. The above is pretty close to the simplest plot posssible, but hey, it was fun!