Summarise & Frequency
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 ...
# A tibble: 3 × 9
species mean_bill_length_mm sd_bill_length_mm mean_bill_depth_mm
<fct> <dbl> <dbl> <dbl>
1 Adelie 38.8 2.66 18.3
2 Chinstrap 48.8 3.34 18.4
3 Gentoo 47.5 3.08 15.0
# ℹ 5 more variables: sd_bill_depth_mm <dbl>, mean_flipper_length_mm <dbl>,
# sd_flipper_length_mm <dbl>, mean_body_mass_g <dbl>, sd_body_mass_g <dbl>
# A tibble: 3 × 2
species n
<fct> <int>
1 Adelie 152
2 Chinstrap 68
3 Gentoo 124
