3.1 Exploring data
Next, we’ll look at the help menu for the pirates dataset using the question mark ?pirates. When you run this, you should see a small help window open up in RStudio that gives you some information about the dataset.
?piratesFirst, let’s take a look at the first few rows of the dataset using the head() function. This will show you the first few rows of the data.
# Look at the first few rows of the data
head(pirates)
## id sex age height weight headband college tattoos tchests parrots
## 2 2 male 31 209 106 yes JSSFP 9 11 0
## 793 793 male 25 209 104 yes CCCC 8 27 9
## 430 430 male 26 201 99 yes CCCC 4 7 1
## 292 292 male 29 201 102 yes CCCC 9 2 3
## 895 895 male 27 201 103 yes CCCC 12 1 1
## 409 409 male 28 201 97 yes CCCC 7 10 0
## favorite.pirate sword.type eyepatch sword.time beard.length
## 2 Jack Sparrow cutlass 0 1.1 21
## 793 Anicetus cutlass 1 1.1 16
## 430 Jack Sparrow cutlass 1 0.9 14
## 292 Jack Sparrow sabre 1 9.9 14
## 895 Hook cutlass 1 2.3 25
## 409 Jack Sparrow cutlass 1 1.2 15
## fav.pixar grogg
## 2 WALL-E 9
## 793 Monsters University 8
## 430 WALL-E 9
## 292 WALL-E 6
## 895 Brave 14
## 409 Inside Out 7You can look at the names of the columns in the dataset with the names() function
# What are the names of the columns?
names(pirates)
## [1] "id" "sex" "age"
## [4] "height" "weight" "headband"
## [7] "college" "tattoos" "tchests"
## [10] "parrots" "favorite.pirate" "sword.type"
## [13] "eyepatch" "sword.time" "beard.length"
## [16] "fav.pixar" "grogg"Finally, you can also view the entire dataset in a separate window using the View() function:
# View the entire dataset in a new window
View(pirates)