Identify the learning objective for each example and attributes of the dataset required

[MikeKSmith-Pfizer]

For each example in Master the Tidyverse, let's identify what is the learning objective in that example - what aspect of the tidyverse is being demonstrated here - and how that relates to the data used in that example. We can then define the attributes needed in the data - e.g. continuous outcome, categorical variable, factor levels for grouping - and how we might find or create a dataset that meets those attributes using the PhUSE datasets.

[MikeKSmith-Pfizer]

It might also make sense to reuse data used for the pharmaverse / {admiral} training sessions, so that there's a common data link between the two trainings.