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"item_title" : "R Data Science Quick Reference",
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"item_description" : "1. Introduction2. Importing Data: readr3. Representing Tables: tibble4. Reformatting Tables: tidyr5. Pipelines: magrittr6. Functional Programming: purrr7. Manipulating Data Frames: dplyr8. Working with Strings: stringr9. Working with Factors: forcats10. Working with Dates: lubridate11. Working with Models: broom and modelr12. Plotting: ggplot213. Conclusions",
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R Data Science Quick Reference : A Pocket Guide to Apis, Libraries, and Packages
Overview
1. Introduction2. Importing Data: readr3. Representing Tables: tibble4. Reformatting Tables: tidyr5. Pipelines: magrittr6. Functional Programming: purrr7. Manipulating Data Frames: dplyr8. Working with Strings: stringr9. Working with Factors: forcats10. Working with Dates: lubridate11. Working with Models: broom and modelr12. Plotting: ggplot213. Conclusions
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Details
- ISBN-13: 9781484248935
- ISBN-10: 1484248937
- Publisher: Apress
- Publish Date: August 2019
- Dimensions: 9.21 x 6.14 x 0.54 inches
- Shipping Weight: 0.81 pounds
- Page Count: 246
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