Problem statement
Tourism is one of the most important economic and cultural activities in Europe, but travel patterns across countries are often difficult to understand through raw statistics alone.
Large datasets contain useful information about where people travel, when they travel, and how much they spend, yet these insights are usually hidden in tables and spreadsheets.
Our project aims to present fragmented tourism data in a clear, intuitive, and engaging interactive way that allows users to explore tourism patterns across Europe visually.
Objectives
The main objective of EUFlow is to create a web-based data visualization platform that enables users to better understand tourism across Europe through interactive exploration.
More specifically, users should be able to discover:
- Where Europeans travel through destination popularity maps and rankings
- When they travel through seasonal and monthly travel patterns
- How much they spend through expenditure comparisons across destinations
- Why Switzerland receives visitors through geographic proximity and economic factors such as GDP
Target audience
EUFlow is designed for a broad audience interested in travel trends and regional mobility.
It can be useful for travelers looking for inspiration, popular destinations, or the best seasons to visit.
It also supports students who want to explore real-world data through interactive visualizations.
In addition, policymakers and tourism organizations can use the platform to better understand visitor behavior and regional tourism demand.
Why this topic
Our motivation comes from our experience as international students currently living in Switzerland.
Since we come from different countries and share a strong interest in travel, we became curious about how Switzerland fits into broader tourism patterns across Europe.
We wanted to understand not only why certain destinations are popular, but also how factors such as geography, seasonality, and economic conditions influence travel decisions.
This personal connection made the topic especially meaningful and interesting for our team to explore.
Problem statement
Tourism is one of the most important economic and cultural activities in Europe, but travel patterns across countries are often difficult to understand through raw statistics alone.
Large datasets contain useful information about where people travel, when they travel, and how much they spend, yet these insights are usually hidden in tables and spreadsheets.
Our project aims to present fragmented tourism data in a clear, intuitive, and engaging interactive way that allows users to explore tourism patterns across Europe visually.
Objectives
The main objective of EUFlow is to create a web-based data visualization platform that enables users to better understand tourism across Europe through interactive exploration.
More specifically, users should be able to discover:
- Where Europeans travel through destination popularity maps and rankings
- When they travel through seasonal and monthly travel patterns
- How much they spend through expenditure comparisons across destinations
- Why Switzerland receives visitors through geographic proximity and economic factors such as GDP
Target audience
EUFlow is designed for a broad audience interested in travel trends and regional mobility.
It can be useful for travelers looking for inspiration, popular destinations, or the best seasons to visit.
It also supports students who want to explore real-world data through interactive visualizations.
In addition, policymakers and tourism organizations can use the platform to better understand visitor behavior and regional tourism demand.
Why this topic
Our motivation comes from our experience as international students currently living in Switzerland.
Since we come from different countries and share a strong interest in travel, we became curious about how Switzerland fits into broader tourism patterns across Europe.
We wanted to understand not only why certain destinations are popular, but also how factors such as geography, seasonality, and economic conditions influence travel decisions.
This personal connection made the topic especially meaningful and interesting for our team to explore.