Point-of-sale transaction data from grocery outlet

This dataset was obtained from the arules package (https://cran.r-project.org/package=arules) and converted to a data frame. Please see Groceries in the arules package and cite accordingly.

groceries

Format

A data frame with 9835 rows and 170 variables:

  • frankfurter:bagslogical columns indicating set membership

  • ida transaction id based on row number

Source

https://cran.r-project.org/package=arules

References

Michael Hahsler, Kurt Hornik, and Thomas Reutterer (2006) Implications of probabilistic data modeling for mining association rules. In M. Spiliopoulou, R. Kruse, C. Borgelt, A. Nuernberger, and W. Gaul, editors, From Data and Information Analysis to Knowledge Engineering, Studies in Classification, Data Analysis, and Knowledge Organization, pages 598–605. Springer-Verlag.