R 4 data science quick reference: a pocket guide to APIs, libraries, and packages

1. Introduction. - 2. Importing Data: readr

3. Representing Tables: tibble. - 4. Tidy+select, 5. Reformatting Tables: tidyr

6. Pipelines: magrittr

7. Functional Programming: purrr. - 8. Manipulating Data Frames: dplyr. - 9. Working with Strings: stringr

10. Working with Factors: forcats. - 11. Working with Dates: lubridate. - 12. Working with Models: broom and modelr. - 13. Plotting: ggplot2

14. Conclusions.