seansunn / airbnbdataanalysis Goto Github PK

1. Project Description
2. File Description
3. Results
4. Licensing, Acknowledgements

For this project, I was interested in using the listing data for Airbnb in Seattle to discover:

• What is the busiest time in Seattle
• What features affect the price of the Airbnb rentals
• What features affect the reviews of the rentals

There is one jupyter notebook here showing all the work related to the question above, and the Airbnb Seattle datasets from Kaggle packed in zip file. The datasets can be found here.

See the blog here for the detailed results Busiest time in Seattle:

• 1/3 ~ 1/5

Top 3 features that affect price:

• Room type(Entire home/apt)
• Area(Downtown)
• Property(Bed & Breakfast)

Top 3 features that affect reviews:

• Area(University District)
• Property(Yurt)
• Property(Bungalow)

Thanks to Airbnb and Kaggle for the data. Feel free to use any of the code in the jupyter notebook.