R 4 Data Science Quick Reference : A Pocket Guide to APIs, Libraries, and Packages
Second Edition
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- 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
Get R 4 Data Science Quick Reference by Thomas Mailund at the best price and quality guaranteed only at Werezi Africa's largest book ecommerce store. The book was published by APress and it has 232 pages.