For anyone reading this:

You can display a list of colourblind pallets directly in RStudio, run the following with RColorBrewer installed:

display.brewer.all(colorblindFriendly = TRUE)

Actually, if the plot is already using transformed data inside the ‘aes()’ call, then you should be able to just use this if I’m not mistaken:

> geom_smooth(formula = y ~ x, method='lm')

Ah okay cool, this was just the first one that came up upon searching! It has really nice features like cached data and the ability to search for indicators with regex.

If you haven’t checked out the ‘ggrepel’ author’s vignette I would highly recommend it!

Can you do that again with log-log transformations in the linear regression, to match the plot and idea behind using this kind of plot? Thanks!

Most countries actually don’t even reach the 2% guideline.

Only the UK, US, and Greece have met the target every year for the last 8 years.

Original source (gov.uk)

Thank you for the introduction to wbstats, it looks really handy!