🏠 Exploring AirBnB in Athens

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

2. Create and activate a virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

pip install -r requirements.txt

🚀 Usage

1. Launch Jupyter Notebook:

jupyter notebook

2. Open Exploring AirBnB in Athens.ipynb
3. 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.