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Description of the data

Since 2008, guests and hosts have used Airbnb to expand on traveling possibilities and present more unique, personalized way of experiencing the world. This dataset describes the listing activity and metrics in NYC, NY for 2019.

This dataset has around 49,000 observations in it with 16 columns and includes all needed information to find out more about hosts, geographical availability, necessary metrics to make predictions and draw conclusions.

This public dataset is part of Airbnb, and the original source can be found on http://insideairbnb.com/.

Objective

  1. Apply descriptive analytics to find out the differences between high-performance listings and worst-performance listings
  2. Discover ways to attract more customers for rental property through case study research

Conclusion

  1. Price & Room
    • The lower price, the higher reviews
    • Private room for Couple is the best choice for hostings
  2. Amenities
    • Listings with essential amenities have more reviews than listings with High-class amenities
    • 20 is the best number of amenities
  3. Convenience
    • High-performing listings are near subway stations and within walking distance of food stores & shopping malls
    • People prefer more free offers (Free Wifi, Free Parking)

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