Data for Exercise 1.113
Poison
A data frame/tibble with 226,361 observations on one variable
a factor with levels Alcohol
,
Cleaning agent
, Cosmetics
, Drugs
, Insecticides
, and
Plants
Centers for Disease Control, Atlanta, Georgia.
Kitchens, L. J. (2003) Basic Statistics and Data Analysis. Pacific Grove, CA: Brooks/Cole, a division of Thomson Learning.
T1 <- xtabs(~type, data = Poison)
T1
#> type
#> Alcohol Cleaning Agent Cosmetics Drugs Insecticides
#> 9201 22347 13192 150857 8438
#> Plants
#> 22326
par(mar = c(5.1 + 2, 4.1, 4.1, 2.1))
barplot(sort(T1, decreasing = TRUE), las = 2, col = rainbow(6))
par(mar = c(5.1, 4.1, 4.1, 2.1))
rm(T1)
if (FALSE) {
library(ggplot2)
ggplot2::ggplot(data = Poison, aes(x = type, fill = type)) +
geom_bar() +
theme_bw() +
theme(axis.text.x = element_text(angle = 85, vjust = 0.5)) +
guides(fill = FALSE)
}