R Data Science Quick ReferenceFebruary 7, 2021
R Data Science Quick Reference
- Author: Thomas Mailund
- ISBN: 1484248937
- Year: 2019
- Pages: 246
- Language: English
- File size: 2.2 MB
- File format: PDF, ePub
- Category: Data Mining
Within this convenient, practical book you may pay for every theory concisely, with lots of illustrative examples. You will be introduced to many R data science bundles, with illustrations of how to utilize every one of these.
Within this book, you will learn about these APIs and packages that deal especially with information science programs: readr, dibble, predictions, lubridate, stringr, tidyr, magnittr, dplyr, purrr, ggplot2, modelr, and much more.
After using this handy quick reference manual, you are going to have the code, APIs, and tips to compose data science-based software in the R programming language. You will also have the ability to perform data analysis.
What You’ll Learn
- Import information with reader
- Use groups using forcats, dates and time together with lubridate, and strings with stringr
- Format data with tidyr then transform that information with magrittr and dplyr
- Compose functions together with R for information science, information mining, and analytics-based software
Picture information with ggplot2 and match information to models using modelr
Who This Book Is For
Developers new to R’s information science, information mining, and analytics packs. Some previous programming expertise with R generally is suggested.