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🏠 Exploring AirBnB in Athens

Python 3.8+ Jupyter Notebook License: MIT

An exploratory data analysis of Airbnb listings in Athens, Greece, using data from Inside Airbnb. This analysis investigates various aspects of the short-term rental market in Athens, including neighborhood distributions, pricing patterns, and host behaviors.

✨ Features

  1. Neighborhood Analysis

    • Distribution of listings across neighborhoods
    • Interactive choropleth maps
    • Price statistics by neighborhood

  2. Temporal Analysis

    • Daily availability patterns
    • Price variations over time
    • Seasonal trends identification

  3. Host & Property Analysis

    • Distribution of listings per host
    • Room type analysis
    • Review patterns and occupancy rates

  4. Interactive Visualizations

    • Interactive maps with listing details
    • Dynamic price trend plots

🛠️ Installation

  1. Clone the repository:
git clone https://github.com/marsidmali/Exploring-AirBnB-in-Athens.git
cd Exploring-AirBnB-in-Athens
  1. Create and activate a virtual environment:
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
  1. Install dependencies:
pip install -r requirements.txt

🚀 Usage

  1. Launch Jupyter Notebook:
jupyter notebook
  1. Open Exploring AirBnB in Athens.ipynb
  2. Run all cells to perform the analysis

📊 Data Source

The analysis uses data from Inside Airbnb, specifically:

  • Detailed listings data
  • Calendar data
  • Reviews data
  • Neighborhood geojson data

🗺️ Interactive Map

The project includes an interactive map visualization (map.html) that shows:

  • All Airbnb listings in Athens
  • Cluster visualization for better performance
  • Popup information for each listing including:
    • Listing name and URL
    • Host information
    • Availability and pricing
    • Property details

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.