How can I make the angles of my polar coordinates relate to exposure proportions in ggplot2?

Question

Suppose I have the following data in R:

mydata <- data.frame(Group=1:5, Profit=seq(60, 100, by=10), 
Count=seq(50000, 10000, by=-10000))

I can plot a bar chart showing the Profit by Group:

r1 <- ggplot(data=mydata, aes(x=Group, y=Profit, fill=Group))
r1 + 
  geom_bar(stat="identity") +
  scale_fill_gradient(low="khaki", high="turquoise4") +
  labs(title="Group 5 is the most profitable segment") 

I can also plot a pie chart showing the proportion of exposure (Count) by Group:

r2 <- ggplot(data=mydata, aes(x="", y=Count, fill=Group))
r2 + 
  geom_bar(width=1, stat="identity") +
  scale_fill_gradient(low="khaki", high="turquoise4") +
  coord_polar(theta="y", start=0) +
  labs(title="We have significant exposure in lower Groups") 

What I'd like to do is combine the above so that the angle of the pie relates to the exposure proportions for each Group level as it is in r2, but also to increase/decrease the size of each "slice" (ie the radius) according to the profit for each Group level in r1.

Any help gratefully received.

Thanks

Answer 1

library(dplyr)
mydata %>%
  mutate(end_count = cumsum(Count),  # or add "/sum(Count)" to make it "out of 100%"
         start_count = lag(end_count, default = 0)) %>%
  ggplot() +
  geom_rect(aes(xmin = start_count, xmax = end_count,
                ymin = 0, ymax = Profit, fill=Group)) +
  scale_fill_gradient(low="khaki", high="turquoise4") +
  coord_polar(theta="x", start=0) +
  labs(title="We have significant exposure in lower Groups")