First, we need to install ggradar and load our relevant libraries. Then, I create a quick standardization function which divides our variable by the max value of that variable in the vector. It doesn’t handle niceties like divide by 0, but we won’t have any zero values in our data frames.
radar_datadata frame starts out simple: build up some stats by continent. Then I call the
mutate_each_function to call
standardizefor each variable in the
mutate_each_is deprecated and I should use something different like
mutate_at, but this does work in the current version of ggplot2 at least.
Finally, I call the
ggradar()function. This function has a large number of parameters, but the only one you absolutely need is plot.data. I decided to change the sizes because by default, it doesn’t display well at all on Windows.
It was a lot of fun putting this series together. I think the most important part of the series was learning just how easy ggplot2 is once you sit down and think about it in a systemic manner.