Summary

The tidyverse might be as vast and complicated as the universe, but no doubt it’s better organized. It pulls together a set of common packages that are well integrated and follow “tidy” data principles to accelerate your skills with R. Here is a list of topics covered in the presentation:

1. The packages that compose the tidyverse (ggplot2, dplyr, tidyr, tibble, readr, purrr)
2. Defining “tidy data” principles
3. How to tidy data and tibbles
4. dplyr pipeline chaining
5. API data munging
6. Using the map function
7. Tidying models with the broom package

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