Data used in Exercise 1.23 and 2.79

Abilene

Format

A data frame/tibble with 16 observations on three variables

crimetype

a character variable with values Aggravated assault, Arson, Burglary, Forcible rape, Larceny theft, Murder, Robbery, and Vehicle theft.

year

a factor with levels 1992 and 1999

number

number of reported crimes

Source

Uniform Crime Reports, US Dept. of Justice.

References

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

Examples


par(mfrow = c(2, 1))
barplot(Abilene$number[Abilene$year=="1992"],
names.arg = Abilene$crimetype[Abilene$year == "1992"],
main = "1992 Crime Stats", col = "red")
barplot(Abilene$number[Abilene$year=="1999"],
names.arg = Abilene$crimetype[Abilene$year == "1999"],
main = "1999 Crime Stats", col = "blue")

par(mfrow = c(1, 1))

if (FALSE) {
library(ggplot2)
ggplot2::ggplot(data = Abilene, aes(x = crimetype, y = number, fill = year)) +
           geom_bar(stat = "identity", position = "dodge") +
           theme_bw() +
           theme(axis.text.x = element_text(angle = 30, hjust = 1))
}