Exercise 1. Variable names

The type of data we are working with will often influence the data visualization technique we use. We will be working with two types of variables: categorical and numeric. Each can be divided into two other groups: categorical can be ordinal or not, whereas numerical variables can be discrete or continuous.

We will review data types using some of the examples provided in the dslabs package. For example, the heights dataset.

library(dslabs)
data(heights)

Let's start by reviewing how to extract the variable names from a dataset using the names function. What are the two variable names used in the heights dataset?