Today we’re announcing the public availability of datasets for Disney World ride wait times for data science and machine learning projects. These data run from 2012 to present and cover these attractions:
|Magic Kingdom||Epcot||Disney’s Hollywood Studios||Disney’s Animal Kingdom|
|Pirates of the Caribbean||Soarin’||Rock ‘n’ Roller Coaster||DINOSAUR|
|Splash Mountain||Spaceship Earth||Toy Story Mania||Expedition Everest|
All data files are comma-separated values (CSV) and in ASCII. A data dictionary is also provided. A separate file of metadata features is also available. These features should be appended to the wait times, as they include information such as Disney World’s Extra Magic Hours schedule, park hours, parade and fireworks times, local sunset time, and more. We’ll update the files monthly.
Both the TouringPlans website and the Unofficial Guide book series have their roots in academia: the touring plan software was my master’s thesis, and Bob Sehlinger taught Operations Research prior to creating the Guide series. Today we work with colleges and universities around the country on Disney theme park research in the sciences and humanities. We hope these data will help further the next generation of theme park study.
The best book I read to get started with machine learning was Python Machine Learning by Sebastian Raschka, and it’s available for cheap on Amazon. That book uses a few scikit-learn libraries, which are really useful to test different ideas in machine learning. We’re also interested in using TensorFlow for these kinds of projects. Let me know if you get something working there.