R 4 Data Science Quick Reference

A Pocket Guide to APIs, Libraries, and Packages. Intermediate. 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

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