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R 4 Data Science Quick Reference = A Pocket Guide to APIs, Libraries, and Packages /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	R 4 Data Science Quick Reference/ by Thomas Mailund.
其他題名:	A Pocket Guide to APIs, Libraries, and Packages /
作者:	Mailund, Thomas.
面頁冊數:	IX, 232 p. 13 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Computer Science. -
電子資源:	https://doi.org/10.1007/978-1-4842-8780-4
ISBN:	9781484287804

R 4 Data Science Quick Reference = A Pocket Guide to APIs, Libraries, and Packages /
Mailund, Thomas.

R 4 Data Science Quick ReferenceA Pocket Guide to APIs, Libraries, and Packages /[electronic resource] :by Thomas Mailund. - 2nd ed. 2022. - IX, 232 p. 13 illus.online resource.

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.

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.. You will: Implement applicable R 4 programming language specification features Import data with readr Work with categories using forcats, time and dates with lubridate, and strings with stringr Format data using tidyr and then transform that data using magrittr and dplyr Write functions with R for data science, data mining, and analytics-based applications Visualize data with ggplot2 and fit data to models using modelr.

ISBN: 9781484287804

Standard No.: 10.1007/978-1-4842-8780-4doiSubjects--Topical Terms:

593922
Computer Science.

LC Class. No.: QA76.7-.73

Dewey Class. No.: 005.13

R 4 Data Science Quick Reference = A Pocket Guide to APIs, Libraries, and Packages /
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