This report analyzes data provided by Transport for London (TFL) from their Rolling Origin and Destination Survey (RODS). RODS models typical passenger behaviors on the London Underground system, providing insights beyond standard usage statistics by including motivations for travel, such as commuting for work or leisure activities.

If you have ever had a moment of inspiration which sparked joy in your heart, you may understand why this small (tiny really) project motivated me to document it and write this report. As with any problem, one typically looks at the problem, studies it, then begins to break it down or work on solving it. However, I broke it down into simple logic, worked on the solution, then solved it within two hours. Though the problem is small, it has a great impact on predicting timeframes, which in turn aids in decision-making.

I will be adding my projects and progress here as I go. If you would like to collaborate on a project, feel free to reach out!