There should be no necessary libraries to run the code here beyond the Anaconda distribution of Python. The code should run with no issues using Python versions 3.*.
For this project, I was interestested in using AirBnB data from 2016 to better understand:
- what is the most popular home type?
- where is the most popular location?
- when to rent to maximize the revenue?
- when is the off-peak season for maintenance?
- how to achieve a good rating?
There is one notebook available here to showcase work related to the above questions. The data is inside the folder: ./AirBnB_Seattle
The main findings of the code can be found at the post available here.
Must give credit to Stack Overflow for the data. You can find the Licensing for the data and other descriptive information at the Kaggle link available here. Otherwise, feel free to use the code here as you would like!