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
## 1 1 male 28 173 70 yes JSSFP 9 0 0 Jack Sparrow cutlass 1 0.58
## 2 2 male 31 209 106 yes JSSFP 9 11 0 Jack Sparrow cutlass 0 1.11
## 3 3 male 26 170 77 yes CCCC 10 10 1 Jack Sparrow cutlass 1 1.44
## 4 4 female 31 144 58 no JSSFP 2 0 2 Jack Sparrow scimitar 1 36.11
## 5 5 female 41 158 58 yes JSSFP 9 6 4 Hook cutlass 1 0.11
## 6 6 male 26 190 85 yes CCCC 7 19 0 Jack Sparrow cutlass 1 0.59
## beard.length fav.pixar grogg
## 1 16 Monsters, Inc. 11
## 2 21 WALL-E 9
## 3 19 Inside Out 7
## 4 2 Inside Out 9
## 5 0 Inside Out 14
## 6 17 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: