R for data science : import, tidy, transform, visualize, and model data / Hadley Wickham and Garrett Grolemund.
Material type:
- Texto
- Sin mediación
- volumen
- 9781491910399
- 006.312 W42r 21
- Z00
Item type | Home library | Call number | Vol info | Status | Notes | Date due | Barcode | Item holds | |
---|---|---|---|---|---|---|---|---|---|
LIBRO FISICO | Biblioteca Principal | 006.312 W42r (Browse shelf(Opens below)) | Ejemplar 1 | Available | Mantener en colección. | 95400000000633 |
Part I. Explore: 1. Data visualization with ggplot2 ; 2. Workflow: basics ; 3. Data transformation with dplyr ; 4. Workflow: scripts ; 5. Exploratory data analysis ; 6. Workflow: projects -- Part II. Wrangle: 7. Tibbles with tibble ; 8. Data import with readr ; 9. Tidy data with tidyr ; 10. Relational data with dplyr ; 11. Strings with stringr ; 12. Factors with forcats ; 13. Dates and times with lubridate -- Part III. Program: 14. Pipes with magrittr ; 15. Functions ; 16. Vectors ; 17. Iteration with purrr -- Part IV. Model: 18. Model basics with modelr ; 19. Model building ; 20. Many models with purrr and broom -- Part V. Communicate: 21. R Markdown ; 22. Graphics for communication with ggplot2 ; 23. R Markdown formats ; 24. R Markdown workflow.
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