1 R Inbuilt Data

No need to install/load any package. datasets are already pre-installed.

?datasets()

library(help = "datasets")
?swiss                         # give information on data set 'swiss'
help(USArrests)                # give information on data set 'USArrests'

You will find some code that can be used to create graphs in the help files.

require(stats); require(graphics)
pairs(swiss, panel = panel.smooth, main = "swiss data",
      col = 3 + (swiss$Catholic > 50))

1.1 Utils Package

Another way to access the same datasets above - using the utils package. There are always multiple ways to do the same thing in R.

require(utils)
?data
data()                         # list all available data sets

2 AER Package

See datasets here.

# install.packages("AER")
library(AER)
## Loading required package: car
## Loading required package: carData
## Loading required package: lmtest
## Loading required package: zoo
## 
## Attaching package: 'zoo'
## The following objects are masked from 'package:base':
## 
##     as.Date, as.Date.numeric
## Loading required package: sandwich
## Loading required package: survival
??AER

xyplot from lattice package produces bivariate scatterplots or time-series plots.

data("Guns")

## visualization
library("lattice")
?xyplot
xyplot(log(violent) ~ as.numeric(x = as.character(year)) | state, 
       data = Guns, 
       type = "l")

?OrchardSprays
df <- OrchardSprays
xyplot(x = decrease ~ treatment, data = OrchardSprays, groups = rowpos,
       type = "a",
       auto.key =
       list(space = "right", points = FALSE, lines = TRUE))