This document summarizes an AirBnB data analytics project. It involved downloading data, cleaning null values and duplicates, analyzing outliers, and visualizing the data. Key findings include that Manhattan is the most popular but also most expensive borough for rentals, entire home/apartments are the most popular property type, and Staten Island has the fewest rentals. Tools used included Pandas and data was from a dummy AirBnB dataset.