For this project, the latest Anaconda distribution of Python is need. The code should run with no issues using Python versions 3.*.
To install the all required libraries you can run the following command in the root folder of the project, replacing env-name with the proper environment name.
conda create --name env-name --file requirements.txt
For this project, i aimed to explore what distinguishes hosts and superhosts beyond the main requirements, in the city of Rio de Janeiro. I asked numerous questions to identify any intriguing differences between the two groups, and these are the top 5 most interesting questions I discovered:
- What's the proportion of super hosts?
- What's the average ratings for superhost and non superhost?
- What are the top listed neighbourhoods?
- What's the response time?
- What's the acceptance rate?
- There's one notebooks available to showcase work related to the above questions.
- The required libraries can be found on requirements.txt
- In the data folder you can find the dataset used for this analysis.
The main findings of the code can be found at the post available here.
Dataset credit http://insideairbnb.com/get-the-data/
This data is licensed under a Creative Commons Attribution 4.0 International License.