The dataset is sourced from Airbnb and is publicly available. The original dataset can be found on Kaggle (https://www.kaggle.com/datasets/dgomonov/new-york-city-airbnb-open-data).
This dataset focuses on Airbnb listing activity in New York City (NYC) for the year 2019. Airbnb has been used since 2008, providing a platform for guests and hosts to enhance traveling experiences by offering unique and personalized accommodations.
It contains comprehensive information about hosts, geographical availability, and key metrics necessary for making predictions and drawing conclusions. It encompasses details that contribute to understanding the dynamics of Airbnb listings in NYC.
Our question of interest from this dataset is :
- What is the association between various properties, including room type, price, and availability, and the reviews per month of Airbnb listings in New York City for the year 2019?
- Through regression analysis, this study aims to explore and quantify the relationships between these properties and the reviews per month, recognizing that correlation does not imply causation. The goal is to identify statistically significant associations and provide valuable insights into factors influencing the popularity of Airbnb listings
The link to the final analysis report is attached below: