A Decade of NYCs Airbnb: Data-Driven Perspectives on Hosting Patterns and Market Dynamics

This research paper conducts a comprehensive data analysis of New York City (NYC) Airbnb listings spanning from 2011 to 2023, encompassing over 40 thousand listings. Employing Python for data cleaning, type handling, and extensive visualization, the study addresses data integrity issues, delving into critical aspects of the NYC Airbnb market. Visualizations cover topics such as hosting listings distribution by room types and neighbourhood’s, price dynamics by room type and borough, spatial distribution via heatmap and geographical maps, average pricing trends, guest satisfaction based on reviews, room availability, and pricing trends over time, host activities, and frequently occurring host names in a Word Cloud. These insights serve property hosts and potential guests, promoting datadriven decisions in the dynamic NYC Airbnb market while contributing to a broader understanding of short-term rental landscape evolution over more than a decade.