http://insideairbnb.com/get-the-data.html

Complete the exercises inside the exploring.Rmd file.

Uxe your dataset to answer the following questions:

• What seems to be the most common name (of a person) in the city you selected?
• Do the number of reviews affect the price of the Airbnb? How? Why do you think this happens?
• What type of room tends to have the highest Airbnb price?
• What neighborhood(s) tend to have the highest Airbnb price?
• Suppose you could purchase a property in the city you selected, and that you could rent it to others as an Airbnb. In what neighborhood would you want to purchase your property? Why?

Visit a real estate website (such as realtor.com) and find a property that is for sale in the neighborhood you selected. Take note of the price and address of the property.

• Use your dataset to find what the average Airbnb price/night is in the neighborhood you selected.
• Use your dataset to find what the average number of available nights per year is for an Airbnb in the neighborhood you selected.
• Suppose you bought the property you selected above. If you were to rent it as an Airbnb at the average neighborhood price, for the average number of days, how long will it take you to break even?