## 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"