Most of the necessary libraries are contained in the Anaconda distribution. Installing geopandas may be necessary.
conda install --channel conda-forge geopandas
For this project, I was interestested in using Seattle Airbnb data to understand the correlation between prices and review scores:
- Does one good category review means all categories have good reviews or vice versa?
- How are Airbnbs distributed over Seattle according to price
- Does higher prices mean better user experience
There is only one notebook for analysis that compile all the plots and observations needed to answer the questions above
The main findings of the code can be found at the post available here.
The dataset can be found here: https://www.kaggle.com/datasets/airbnb/seattle
CC0-1.0
