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Product metadata for all products purchased by households participating in the Customer Journey study.
products
a tibble
A data frame with 92,331 rows and 7 variables
product_id: Uniquely identifies each product
manufacturer_id: Uniquely identifies each manufacturer
department: Groups similar products together
brand: Indicates Private or National label brand
product_category: Groups similar products together at lower level
product_type: Groups similar products together at lowest level
package_size: Indicates package size (not available for all products)
# NOT RUN { # full data set products # Transaction line items that don't have product metadata require("dplyr") transactions_sample %>% anti_join(products, "product_id") # }
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