── 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 3.5.1 ✔ 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
Nick Park 1st attempt at Quarto
Quarto
I understand what Quarto is used for but will need to practice lots!! It enables you to weave together content and executable code into a finished document. To learn more about Quarto see https://quarto.org.
Penguin data
For this demonstration we will use the ‘penguin’ dataset from the palmer penguins (https://allisonhorst.github.io/palmerpenguins/) package Here’s a photo of my R Studio environment showing that I have imported the penguin data

Running Code
When you click the Render button a document will be generated that includes both content and the output of embedded code. You can embed code like this:
You can add options to executable code like this
[1] 4
The echo: false option disables the printing of code (only output is displayed).