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

• Record Nr.: UNINA9910624380503321
• Autore: Mailund Thomas
• Pubbl/distr/stampa: New York, New York : , : Apress, , [2022]; ©2022
• ISBN: 1-4842-8780-0
• Edizione: [Second edition.]
• Descrizione fisica: 1 online resource (231 pages)
• Disciplina: 519.502855133
• Soggetti: R (Computer program language); Statistics - Data processing
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Includes index.
• Nota di contenuto: 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.
• Sommario/riassunto: In this handy, quick reference book you'll be introduced to several R data science packages, with examples of how to use each of them. All concepts will be covered concisely, with many illustrative examples using the following APIs: readr, dibble, forecasts, lubridate, stringr, tidyr, magnittr, dplyr, purrr, ggplot2, modelr, and more. With R 4 Data Science Quick Reference, you'll have the code, APIs, and insights to write data science-based applications in the R programming language. You'll also be able to carry out data analysis. All source code used in the book is freely available on GitHub.