Data for Exercises 1.14 and 1.37
Diplomat
A data frame/tibble with 10 observations on three variables
a factor with levels Brazil
,
Bulgaria
, Egypt
, Indonesia
, Israel
, Nigeria
,
Russia
, S. Korea
, Ukraine
, and Venezuela
total number of tickets
number of tickets per vehicle per month
Time, November 8, 1993. Figures are from January to June 1993.
Kitchens, L. J. (2003) Basic Statistics and Data Analysis. Pacific Grove, CA: Brooks/Cole, a division of Thomson Learning.
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")
}