Airbnb in New York

By Rapidash

Zhe Yin, Zhuoying Zhou, Jiayun Liu, Yujia Si

2023-12-04

Topic & motivation

  • Topic

Analyzing the patterns of Airbnb rentals in New York City from the perspectives of different neighborhoods, housing types, and long-term or short-term rentals.

  • Motivation

    • Provide a quick overview of the distribution of Airbnb rentals in New York City.

    • Offer the option to filter rooms based on different features.

Data

  • Source

The dataset is from Airbnb’s official website Inside Airbnb. The data behind the Inside Airbnb site is sourced from publicly available information from the Airbnb site.

  • When and how it was originally collected

    • Collected by Airbnb as the platform itself gathers and stores users’ data and housing data.

    • Collected by Airbnb with a focus on New York City from 1st October 2022 to 1st October 2023.

Inference/modeling/other analysis

  • We made an interactive map to help users find the listings they need.

  • We created two interactive charts - Listing Number & Star - that allow users to explore the distribution of listings on their own.

  • We recommended the 20 most popular listings for users based on the number of reviews of listings in different areas.

Inference/modeling/other analysis

For example, this is one of our two interactive charts - star vs room_type.

Conclusions & Future Work

https://rapidash666.shinyapps.io/AirbnbNYC/

Advanced Features

  • Nice CSS style, user-friendly layout.
  • Interactive map, tables, and charts; functional buttons, linking to external websites based on specific points or rows.

Future Work

  • More general system that can be applied to other urban datasets & incorporating ML algorithms.