toronto-airbnb-pricing-analysis
🏙️ Toronto Airbnb Pricing Analysis (2025)
Welcome to my exploratory data visualization project analyzing 2025 Airbnb listings in Toronto, Canada. This dashboard, built in Tableau, reveals pricing trends, room type behaviors, and monthly revenue patterns across different neighborhoods.
🔍 Key Questions
- Which Toronto neighborhoods have the highest average prices?
- How do prices vary by room type (entire home, private room, shared room)?
- Are there seasonal revenue trends in the short-term rental market?
- Where might new hosts find profitable opportunities?
💡 Key Insights
- Bay Street Corridor, Woodbine-Lumsden, and High Park-Swansea show the highest nightly rates.
- Shared rooms, though rare, command surprisingly high average prices.
- Revenue spikes in May 2025, suggesting strong spring/summer booking behavior.
- Central Toronto neighborhoods show dense clusters of higher revenue potential.
🛠️ Tools Used
- Tableau (for visualization)
- Excel + Power Query (data cleaning & prep)
📷 Visuals Included
- Bar chart: Average price by neighborhood
- Bar chart: Average price by room type
- Line chart: Monthly revenue trend
- Map: Geospatial price distribution
- Count of listings by room type
📂 Project Files
- Tableau workbook (
.twbx) - Cleaned dataset (
/data) - Dashboard screenshots (
/dashboard) - Full README with methodology and findings