Airbnb Market Analysis Project

📌 Overview

This project analyzes Airbnb listing data to uncover insights about pricing trends, occupancy rates, and customer preferences in [City/Region]. The goal was to identify factors influencing rental success and provide actionable recommendations for hosts.

🔍 Key Questions Explored

1. How do pricing and availability vary by neighborhood?
2. What property features correlate with higher ratings/revenue?
3. Are there seasonal demand patterns hosts can leverage?

🛠 Tools Used

• Python: Pandas, NumPy (Data Cleaning & Analysis)
• Visualization: Matplotlib,
• Notebook: Jupyter Lab