This dot plot shows how the frequency of certain temperatures would reach more than 25%, meaning there would be many days in the month that reached below or between a certain temperature range. For example, there at least 8 days in May that reached below 60, causing the frequency to be more than 1%. However, in August, the amount of days that reached more than 95 degrees equaled to less than 1% in terms of frequency of temperatures for that month. I would've liked to make the frequency of temperatures larger, but wasn't too sure how. I used p2 <- airquality |> + ggplot(aes(x=Temp, fill=Month)) + + geom_dotplot(position="identity", alpha=0.5, binwidth = 5, color = "white")+ + scale_fill_discrete(name = "Month", labels = c("May", "June","July", "August", "September")) + + labs(x = "Monthly Temperatures from May - Sept", + y = "Frequency of Temps", + title = "Histogram of Monthly Temperatures from May - Sept, 1973", + caption = "New York State Department of Conservation and the National Weather Service")