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Code for DT8109 Business Systems Case Study 2017 ================================================ Code used for the case study in DT8109 Business Systems at NTNU. Basically does four things: 1. Gathers a lot of data about the dataset (events_stats.py) 2. Performs a hierarcical clustering (cluster_events.py) 3. Performs a classification using naive bayes (segment.py) 4. Performs an analysis of when an event breaks even using tree induction (predict_sold_out.py) dist.py contains helper funtions for calculating distances, and get_events.py contains utilities for reading data.