R 4 Data Science Quick Reference A Pocket Guide to APIs, Libraries, and Packages
Language: English
Published by 0, 2022
- Softcover
- New
Seller: Lakeside Books, Benton Harbor, MI, U.S.A.Lakeside Books
5-star seller
AbeBooks seller since April 6, 2017
Softcover
Condition: New
US$ 25.89
US$ 3.99 shipping
Ships within U.S.A.
Quantity: Over 20 available
Add to basketFree 30-day returns
Item description from seller
Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books.
Seller Inventory # OTF-S-9781484287798
- Title
- R 4 Data Science Quick Reference A Pocket Guide to APIs, Libraries, and Packages
- Author
- Mailund, Thomas
- Publisher
- 0
- Publication year
- 2022
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 1484287797
- ISBN 13
- 9781484287798
- Edition
- 2nd Edition
- Seller catalogs
- 0, VCF
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..
What You'll Learn
- 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
Who This Book Is For
Programmers new to R's data science, data mining, and analytics packages. Some prior coding experience with R in general is recommended.
"Synopsis" may belong to another edition of this title.
About the Author
Thomas Mailund is an associate professor at Aarhus University, Denmark. He has a background in math and computer science. For the last decade, his main focus has been on genetics and evolutionary studies, particularly comparative genomics, speciation, and gene flow between emerging species. He has published Beginning Data Science in R, Functional Programming in R, and Metaprogramming in R with Apress as well as other books on R and C programming.
"About the title" may belong to another edition of this title.
Lakeside Books
Benton Harbor, MI, U.S.A.
5-star seller
AbeBooks seller since April 6, 2017
Shipping rates within U.S.A.
| Item | 4 to 14 business days | 2 to 7 business days |
|---|---|---|
| First item | US$ 3.99 | US$ 12.99 |
Payment methods
Specialty
New and UsedSeller's business information
Ambis Enterprises LLC
3247 Territorial Rd
Benton Harbor, MI U.S.A. 49022