AE 01: Meet the penguins

For this application exercise, we’ll use the tidyverse and palmerpenguins packages.

library(tidyverse)

── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
✔ dplyr     1.1.4     ✔ readr     2.1.5
✔ forcats   1.0.0     ✔ stringr   1.5.1
✔ ggplot2   3.4.4     ✔ tibble    3.2.1
✔ lubridate 1.9.3     ✔ tidyr     1.3.1
✔ purrr     1.0.2     
── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
✖ dplyr::filter() masks stats::filter()
✖ dplyr::lag()    masks stats::lag()
ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors

library(palmerpenguins)

The dataset we will visualize is called penguins. Let’s glimpse() at it.

• Your turn: Replace #add code here with the code for “glimpse”ing at the data penguins data frame – glimpse(penguins). Render the document and view the output.

# add code here

• Demo: First, replace the blank below with the number of rows in the penguins data frame based on the output of the chunk below. Then, replace it with “inline code” and render again.

nrow(penguins)

[1] 344

There are ___ penguins in the penguins data frame.

x <- 2
x * 3

[1] 6