## Welcome to the completejourney package! Learn more about these data
## sets at http://bit.ly/completejourney.
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ forcats 1.0.0 ✔ stringr 1.5.1
## ✔ lubridate 1.9.3 ✔ tibble 3.2.1
## ✔ purrr 1.0.2 ✔ tidyr 1.3.1
## ✔ readr 2.1.5
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errors
## [1] "household_id" "age" "income" "home_ownership"
## [5] "marital_status" "household_size" "household_comp" "kids_count"
## [1] "household_id" "store_id" "basket_id"
## [4] "product_id" "quantity" "sales_value"
## [7] "retail_disc" "coupon_disc" "coupon_match_disc"
## [10] "week" "transaction_timestamp"
## [1] "product_id" "manufacturer_id" "department" "brand"
## [5] "product_category" "product_type" "package_size"


