https://github.com/mutokrm/airbnb_analysis
Machine Learning & Data Analysis on Airbnb Data
https://github.com/mutokrm/airbnb_analysis
Last synced: 3 months ago
JSON representation
Machine Learning & Data Analysis on Airbnb Data
- Host: GitHub
- URL: https://github.com/mutokrm/airbnb_analysis
- Owner: mutokrm
- Created: 2023-11-01T01:59:48.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-01-14T06:41:43.000Z (over 1 year ago)
- Last Synced: 2025-03-02T06:28:03.698Z (3 months ago)
- Language: HTML
- Homepage:
- Size: 44.2 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Airbnb Data Analysis - Asian/Oceanian Cities
### **This Google Slides explains the insights from this project: [What's unique in Tokyo's Airbnb?](https://docs.google.com/presentation/d/1z0cN8D5487iMU2LHZYWbVXIPFkOAec2CMpO5BrTvaZ4/edit?usp=sharing)**
In this project, I'm going to conduct data analysis on Airbnb data in Asian/Oceanian cities. The data sets are downloaded from [Inside Airbnb](http://insideairbnb.com/explore).
The cities I'm going to analyze are: \
Tokyo: [http://insideairbnb.com/tokyo](http://insideairbnb.com/tokyo). Data collected on 2023-09-24. \
Sydney: [http://insideairbnb.com/sydney](http://insideairbnb.com/sydney). Data collected on 2023-09-04. \
Melbourne: [http://insideairbnb.com/melbourne](http://insideairbnb.com/melbourne). Data collected on 2023-09-04. \
Singapore: [http://insideairbnb.com/singapore](http://insideairbnb.com/singapore). Data collected on 2023-09-04. \
Hong Kong: [http://insideairbnb.com/hong-kong](http://insideairbnb.com/hong-kong). Data collected on 2023-09-17. \
Taipei: [http://insideairbnb.com/taipei](http://insideairbnb.com/taipei). Data collected on 2023-09-25. \
Bangkok: [http://insideairbnb.com/bangkok](http://insideairbnb.com/bangkok). Data collected on 2023-09-22.