### Exercises & Videos **5. Exploring Data in Lists (*optional but recommended*): 1 hour** * This lesson is optional, but highly recommended if you are planning on applying these lessons further. It is a tutorial on using `purrr` to explore and extract data from lists. Our API calls pull data into our session in nested lists, so this tutorial is helpful for managing that. * Launch the Exploring Data in Lists Jupyter Notebook at [](https://mybinder.org/v2/gh/ciakovx/ciakovx.github.io/master?filepath=jennybc_lists_lesson.ipynb) * Skim the [Exploring Data in Lists](https://ciakovx.github.io/jennybc_lists_lesson.html) webpage. * Read the [pepper shaker analogy](https://r4ds.had.co.nz/vectors.html?q=list#visualising-lists) for working with lists in R (from *R For Data Science*) * Watch the [Exploring Data in Lists](https://youtu.be/F57EorEYRMM) video (40 mins): @[youtube](https://youtu.be/F57EorEYRMM) **6. rcrossref & roadoi (*required*): 1.5 hours** * This lesson is required. It will walk you through a number of functions in `rcrossref` * Launch the `rcrossref` & `roadoi` Jupyter Notebook at [](https://mybinder.org/v2/gh/ciakovx/ciakovx.github.io/master?filepath=rcrossref.ipynb) * Skim the * [rcrossref webpage](https://ciakovx.github.io/rcrossref.html). Much of this content is identical to that on the Jupyter Notebook. * Watch the [rcrossref and roadoi video tutorial](https://youtu.be/dy-raTcj0no) (1.25 hrs): @[youtube](https://youtu.be/dy-raTcj0no)