I have wrapped up my ggplot2 series, with the last post being on radar charts:
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.
The radar_data
data frame starts out simple: build up some stats by continent. Then I call the mutate_each_
function to call standardize
for each variable in the vars
set. 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.