This project aims to transform raw, untidy data into a structured format suitable for comprehensive analysis. By processing and cleaning the data, the project seeks to answer critical questions regarding Airbnb listings in New York City. Specifically, it will determine the average nightly price of an Airbnb listing, quantify the number of advertisements for private rooms, and compare listing prices across the five NYC boroughs. The ultimate goal is to provide clear, data-driven insights into the Airbnb market in NYC, facilitating better understanding and informed decision-making.