Airbnb Listings EDA | Python
Analyzed 48,000+ NYC Airbnb listings to identify pricing patterns, room-type distribution, neighborhood trends, and host activity. Cleaned and preprocessed data by handling missing values, converting date columns, and applying Pandas filtering, grouping, and aggregation. Created visualizations to compare average prices across boroughs, examine room-type preferences, explore price-review relationships, and identify pricing variations. Used Generative AI and prompt engineering to assist with Python code development, debugging, and interpretation of analytical results.
