# Chapter 3 Data Summarization

In this chapter, you will learn how to:

• Numerically and visually examine the distributions of continuous and categorical variables;
• Create a complete-case analysis dataset; and
• Summarize a dataset using a “Table 1” of descriptive statistics.

Some of the R programming code used in this chapter uses elements of the tidyverse library , in particular the pipe operator %>% and functions such as select(). Load this library before proceeding.

library(tidyverse)

### References

———. 2021. Tidyverse: Easily Install and Load the Tidyverse. https://CRAN.R-project.org/package=tidyverse.