Dataset: Belgium retail market

In this week's dataset, I worked with the Belgium retail market dataset.  In my previous post, I talked about how Apriori can be used to generate association rules.  So, I search for a good dataset that I can use to apply the Apriori algorithm.  The dataset consists of over 88,000 transactions with over 16,000 different items.  While the dataset only contains numbers, we can still apply the algorithm.  This analysis demonstrates how support and confidence influences the amount of rules generated.

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