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R Data Science Quick Reference: A Pocket Guide to APIs, Libraries, and Packages
1. Introduction2. Importing readr3. Representing tibble4. Reformatting tidyr5. magrittr6. Functional purrr7. Manipulating Data dplyr8. Working with stringr9. Working with forcats10. Working with lubridate11. Working with broom and modelr12. ggplot213. Conclusions
258 pages, Paperback
Published August 12, 2019
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