R 4 data science quick reference : a pocket guide to APIs, libraries, and packages / / Thomas Mailund
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| Autore: |
Mailund Thomas
|
| Titolo: |
R 4 data science quick reference : a pocket guide to APIs, libraries, and packages / / Thomas Mailund
|
| Pubblicazione: | New York, New York : , : Apress, , [2022] |
| ©2022 | |
| Edizione: | Second edition. |
| Descrizione fisica: | 1 online resource (231 pages) |
| Disciplina: | 519.502855133 |
| Soggetto topico: | R (Computer program language) |
| Statistics - Data processing | |
| 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. |
| Titolo autorizzato: | R 4 Data Science Quick Reference |
| ISBN: | 1-4842-8780-0 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910624380503321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |