This repository contains the code of the Airbnb Berlin dataset data analysis. The dataset is made available directly on the Airbnb website: http://insideairbnb.com/get-the-data.html.
The corresponding blog post can be found on medium: https://schrankf.medium.com/still-a-divided-city-4302d08c1d52
The purpose of this analysis is to explore a dataset of Airbnb in Berlin with particular regard to the differences between the former East and West:
- What are the key factors that influence the price?
- Where are the most expensive neighbourhoods?
- Where are the most popular neighbourhoods?
Installation
The code should run with no issues using Python versions 3.*. The easiest way to to work with the provided code is to use the conda environment manager and the provided environment file environment.yml. Simply create the a new environment by using:
conda env create --file environment.yml
Once you have created the environment, you need to activate it with
conda activate airbnb
File structure
├── Airbnb_berlin_analysis.ipynb
├── LICENSE
├── README.md
├── enviroment.yml
├── data/
│ ├── berlin_wall.json
│ ├── berlin-dist.geojson
│ ├── listings.csv
│ ├── neighbourhoods.csv
│ ├── neighbourhoods.geojson
│ ├── reviews.csv
My thanks go to Airbnb for sharing this data. The licensing of the data can be found under the link below: http://insideairbnb.com/get-the-data.html