These are not outliers. I am an economist and this is the way the data should look, based on your comments. It is a poor dataset to start a beginner on.
What you are looking at is called "price discrimination." In particular, it is third degree price discrimination. Another real world example, although it is an example of first degree price discrimination, is with the Apple i-phone. When it first came out they restricted production. As a consequence, the supply curve and the demand curve did not meet. Only those who valued it the most tried to buy it and they were willing to pay the most. Then they produced more, but still not enough for the supply curve and the demand curve to meet. People stood in line and those willing to pay the most got a phone. They continued this process until the price fell to the equilibrium price.
In doing this, they extracted as much revenue as possible from each person. There is a hidden structure in this data that you need to extract. It probably had to do with square footage, amenities and location. You do need to go and ask a new question as this won't get you where you are looking to go. The data has no outliers in it.
Without really looking at it closely, it is probably a Pareto distribution and not all Pareto distributions even have a mean, let along the nice properties you want a beginner to see.