"Normal" views of money

In this set of exercises, you'll work with this sample of US accounts. The first column is a unique account identifier, and the second contains the amount of savings that account has.

It is helpful to visualize distributions using a histogram. A histogram buckets each observation into a "bin". It reduces information, just like an average, but not down to a single value. Instead, the count of observations in each bin is represented in a histogram. Keep in mind when making a histogram that it's best to have more than 20 observations. Furthermore, if you are working with samples of data, you will want a random sample to prevent biased results.

Let's now take a look at what the savings distribution is and how it compares to the descriptive statistics that have already been calculated for you.