R 4 Data Science Quick Reference

Available
0
StarStarStarStarStar
0Reviews
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: ggplo...
Read moreRead more
Samples
E-book
pdf
36,99 €
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: ggplo...
Read moreRead more
Follow the Author

Options

  • ISBN: 9781484287804
  • Number of pages: 0
  • DRM: WATERMARK
  • Publication Date: Oct 28, 2022
  • Publisher: APRESS
  • Format: pdf

Reviews

LoaderLoaderLoaderLoader