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.
First, 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 favorite.pirate sword.type eyepatch sword.time beard.length
## 1 1 male 28 173.11 70.5 yes JSSFP 9 0 0 Jack Sparrow cutlass 1 0.58 16
## 2 2 male 31 209.25 105.6 yes JSSFP 9 11 0 Jack Sparrow cutlass 0 1.11 21
## 3 3 male 26 169.95 77.1 yes CCCC 10 10 1 Jack Sparrow cutlass 1 1.44 19
## 4 4 female 31 144.29 58.5 no JSSFP 2 0 2 Jack Sparrow scimitar 1 36.11 2
## 5 5 female 41 157.85 58.4 yes JSSFP 9 6 4 Hook cutlass 1 0.11 0
## 6 6 male 26 190.20 85.4 yes CCCC 7 19 0 Jack Sparrow cutlass 1 0.59 17
## fav.pixar grogg
## 1 Monsters, Inc. 11
## 2 WALL-E 9
## 3 Inside Out 7
## 4 Inside Out 9
## 5 Inside Out 14
## 6 Monsters University 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" "height" "weight" "headband" "college"
## [8] "tattoos" "tchests" "parrots" "favorite.pirate" "sword.type" "eyepatch" "sword.time"
## [15] "beard.length" "fav.pixar" "grogg"Finally, you can also view the entire dataset in a separate window using the View() function: