This website is made in the course 02806 - Social data analysis and visualization. The website is a product of what we have worked with during the final project, project A+B.

 

In this project we are interested in visualizing which cities and rail connections are the most popular. We are analyzing the flow of the rail network using the PageRank algorithm and comparing it to how people actually travelled. We're also interested in people's favorite routes or routes that they have recommended. We'll discover if these recommandations shows that the most popular cities have changed over the years.

 

The first of our dataset is obtained directly from a contact person in the organization Eurail Group (www.eurailgroup.org). From them we received an excel-file with data involving which cities people traveled between during their Interrail trips in 2012, and how many were traveling on these different rail connections.

The other dataset we made out of the RailDude website (www.raildude.com/train/travel-routes.html). We collected the data of people's favorite Interrail routes, their recommended routes  or whatever routes they posted on the website.

 

The analysis in this project will include basic concepts from the theory that we have learnt during the course 02806 about the main topics: visualization, machine learning and network graphs.