tomerpo5/tomerpomerantz_nyc2019_airbnb_eda

Overview This project presents an exploratory data analysis (EDA) of the Airbnb 2019 dataset for New York City. The objective of the analysis is to explore how price, availability, review activity, and host behavior interact. The project also includes a data-driven identification and analysis of “superhosts.” Dataset Description Source: gradio/NYC2019-Airbnb-Open-Data (Hugging Face) Observations: 48,895 Features: 16 original variables plus engineered features. Main Variables: price… See the full description on the dataset page: https://huggingface.co/datasets/tomerpo5/tomerpomerantz_nyc2019_airbnb_eda.