Market Basket Analysis Basics

Kevin Feasel

2017-02-21

R

Leila Etaati has an introduction to market basket analysis with R:

For instance, imagine we have below transaction items from a shopping store  for last hours,

Customer 1: Salt, pepper, Blue cheese

Customer 2: Blue Cheese, Pasta, Pepper, tomato sauce

Customer 3: Salt, Blue Cheese, Pepperoni, Bacon, egg

Customer 4: water, Pepper, Egg, Salt

we want to know how many times customer purchase pepper and salt together
the support will be : from out four main transactions (4 customers), 2 of them purchased salt and pepper together. so the support will be 2 divided by 4 (all number of transaction.

Basket analysis is one way of building a recommendation engine:  if you’re buying butter, cream, and eggs, do you also want to buy sugar?

Related Posts

Running R Scripts In Power BI’s Query Editor

Brad Lewellyn walks us through the process of executing an R script against a table in Power Query: If you aren’t able to open the R Script Editor, check out our previous post, Getting Started with R Scripts.  While it’s possible to develop and test code using the built-in R Script Editor, it’s not great.  Unfortunately, […]

Read More

The Lesser-Known Apply Functions In R

Andrew Treadway covers a few of the lesser-known apply functions in R: rapply Let’s start with rapply. This function has a couple of different purposes. One is to recursively apply a function to a list. We’ll get to that in a moment. The other use of rapply is to a apply a function to only those elements in […]

Read More

Categories

February 2017
MTWTFSS
« Jan Mar »
 12345
6789101112
13141516171819
20212223242526
2728