Data management is a crucial skill needed for working with data in R, and we have covered many of the basics in this chapter. One thing to keep in mind is that there is no prescribed order in which to conduct data management, cleaning, and data visualization. Rather, it will be an iterative process that likely won't end, even if you continue with your data and perform data analysis projects. You will probably run across more questions about your data if you use it to build statistical models.

This book was hopefully only the beginning of your R pro. It has taken you through variable types, basic flow control, data import and export, data visualization with base plots and ggplot2, summarizing and aggregating data, plus joins and merging to help you build a foundation for how to use R to work with data. However, the Comprehensive R Archive Network, or CRAN, the largest...