# Attach the `palmerspenguins` packagelibrary(palmerpenguins)# 1. Examine at the dataset using the ?Help page#?penguins# 2. what is the class of the penguins dataset?class(penguins)
[1] "tbl_df" "tbl" "data.frame"
# 3. what is the structure of the penguins dataset?str(penguins)
tibble [344 × 8] (S3: tbl_df/tbl/data.frame)
$ species : Factor w/ 3 levels "Adelie","Chinstrap",..: 1 1 1 1 1 1 1 1 1 1 ...
$ island : Factor w/ 3 levels "Biscoe","Dream",..: 3 3 3 3 3 3 3 3 3 3 ...
$ bill_length_mm : num [1:344] 39.1 39.5 40.3 NA 36.7 39.3 38.9 39.2 34.1 42 ...
$ bill_depth_mm : num [1:344] 18.7 17.4 18 NA 19.3 20.6 17.8 19.6 18.1 20.2 ...
$ flipper_length_mm: int [1:344] 181 186 195 NA 193 190 181 195 193 190 ...
$ body_mass_g : int [1:344] 3750 3800 3250 NA 3450 3650 3625 4675 3475 4250 ...
$ sex : Factor w/ 2 levels "female","male": 2 1 1 NA 1 2 1 2 NA NA ...
$ year : int [1:344] 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 ...
# 4. what are the dimensions of the penguins dataset?#Rowsdim(penguins)[1]
[1] 344
#Columnsdim(penguins)[2]
[1] 8
# 5. what are the column names of the penguins dataset?colnames(penguins)