Exercise

Exploratory visualization of age

Let's perform an exploratory data analysis (EDA) of the numerical explanatory variable age. You should always perform an exploratory analysis of your variables before any formal modeling. This will give you a sense of your variable's distributions, any outliers, and any patterns that might be useful when constructing your eventual model.

Instructions

100 XP

Using the ggplot2 package, create a histogram of age with bins in 5 year increments.
Label the x axis with "age" and the y axis with "count".