R 4 data science quick reference : a pocket guide to APIs, libraries, and packages /
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,...
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| Format: | eBook |
| Language: | English |
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New York, NY :
Apress,
[2022]
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| Edition: | Second edition. |
| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
| Summary: | 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. |
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| Item Description: | Includes index. |
| Physical Description: | 1 online resource (231 pages) : illustrations |
| ISBN: | 9781484287804 1484287800 |