Data for Exercises 1.14 and 1.37

Diplomat

Format

A data frame/tibble with 10 observations on three variables

country

a factor with levels Brazil, Bulgaria, Egypt, Indonesia, Israel, Nigeria, Russia, S. Korea, Ukraine, and Venezuela

number

total number of tickets

rate

number of tickets per vehicle per month

Source

Time, November 8, 1993. Figures are from January to June 1993.

References

Kitchens, L. J. (2003) Basic Statistics and Data Analysis. Pacific Grove, CA: Brooks/Cole, a division of Thomson Learning.

Examples


par(las = 2, mfrow = c(2, 2))
stripchart(number ~ country, data = Diplomat, pch = 19, 
           col= "red", vertical = TRUE)
stripchart(rate ~ country, data = Diplomat, pch = 19, 
           col= "blue", vertical = TRUE) 
with(data = Diplomat, 
     barplot(number, names.arg = country, col = "red"))
with(data = Diplomat, 
     barplot(rate, names.arg = country, col = "blue"))           

par(las = 1, mfrow = c(1, 1))
if (FALSE) {
library(ggplot2)
ggplot2::ggplot(data = Diplomat, aes(x = reorder(country, number), 
                 y = number)) + 
           geom_bar(stat = "identity", fill = "pink", color = "black") + 
           theme_bw() + labs(x = "", y = "Total Number of Tickets")
ggplot2::ggplot(data = Diplomat, aes(x = reorder(country, rate), 
                 y = rate)) +
           geom_bar(stat = "identity", fill = "pink", color = "black") + 
           theme_bw() + labs(x = "", y = "Tickets per vehicle per month")
}