From the course: Data Science Foundations: Data Mining in R

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Dataset: Groceries

Dataset: Groceries

From the course: Data Science Foundations: Data Mining in R

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Dataset: Groceries

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- [Instructor] For two of our three demonstrations of association rules mining, I want to use a dataset called Groceries. That's actually a good thing because association rules mining is often known as market basket analysis because it's done within a shopping context. To do this, I'm going to load several packages, including this one, arules, which is for association rules mining. From there, I'm going to load a data set called Groceries with a capital G. We can get some information on that and you can see that it's one month of transactions at a real world, 9,835 transactions, 169 categories. We'll load the data and you'll see that it's not a data frame. It's a list. It's formal class transactions. If we come back here to see the structure, you can see it's got a nested structure and we've got these various cryptic things in here, but down here you can actually see what some of the things are, those make sense.…

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