Global Tourism Analysis Dashboard
Description:
Analyzed global tourism data with SQL and Python, then built Tableau dashboards to visualize visitor flows, seasonal patterns, and country-level trends. Provides a business-focused view of how travel is impacted by global events.
Problem:
Tourism trends are often buried in raw data, making it hard to understand global visitor flows and the impact of major events on travel.
Methods:
Collected and cleaned global tourism datasets with Python + Pandas.
Queried structured data with SQL.
Built Tableau dashboards to visualize flows by country, seasonality, and year.
Tools: Python, SQL, Tableau, Pandas
Results:
Interactive dashboard showing top destinations, seasonal peaks, and shifts in visitor volume.
Highlighted patterns that align with economic cycles and global events.
Business Impact:
This project demonstrates how data storytelling with SQL + Tableau can help travel, hospitality, and government stakeholders make informed strategic decisions.