Data for Exercise 1.113

Poison

Format

A data frame/tibble with 226,361 observations on one variable

type

a factor with levels Alcohol, Cleaning agent, Cosmetics, Drugs, Insecticides, and Plants

Source

Centers for Disease Control, Atlanta, Georgia.

References

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

Examples


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)
}