Chapter 1:
R for Advanced Analytics

By the end of this chapter, you will be able to:

Explain advanced R programming constructs
Print the summary statistics of a real-world dataset
Read data from CSV, text, and JSON files
Write R markdown files for code reproducibility
Explain R data structures such as data.frame, data.table, lists, arrays, and matrices
Implement the cbind, rbind, merge, reshape, aggregate, and apply functions
Use packages such as dplyr, plyr, caret, tm, and many more
Create visualizations using ggplot

In this chapter, we will set the foundation for programming with R and understand the various syntax and data structures for advanced analytics.