In the last decade, Airbnb has become a mainstay for tourists worldwide. In this project, we will use data from insideairbnb.com to obtain a better geographic understanding of Dublin. Which parts are expensive or reasonable to rent? Where do tourists like to stay, and in what type of accommodation? We will study these issues using descriptive statistics and advanced statistical models, such as generalized linear models. Students interested in the textual information of Airbnb reviews can exploit that information in the descriptive analysis. A working knowledge of the programming languages R or Python and statistical regression models is strongly advised to work on this project. All interested students must first email fritzc@tcd.ie to set up a short informal meeting to discuss the project.