Source

Warning: package 'tidycensus' was built under R version 4.4.1

Dataset

# A tibble: 100 × 14
   Region      Country `Item Type` `Sales Channel` `Order Priority` `Order Date`
   <chr>       <chr>   <chr>       <chr>           <chr>            <chr>       
 1 Australia … Tuvalu  Baby Food   Offline         H                5/28/2010   
 2 Central Am… Grenada Cereal      Online          C                8/22/2012   
 3 Europe      Russia  Office Sup… Offline         L                5/2/2014    
 4 Sub-Sahara… Sao To… Fruits      Online          C                6/20/2014   
 5 Sub-Sahara… Rwanda  Office Sup… Offline         L                2/1/2013    
 6 Australia … Solomo… Baby Food   Online          C                2/4/2015    
 7 Sub-Sahara… Angola  Household   Offline         M                4/23/2011   
 8 Sub-Sahara… Burkin… Vegetables  Online          H                7/17/2012   
 9 Sub-Sahara… Republ… Personal C… Offline         M                7/14/2015   
10 Sub-Sahara… Senegal Cereal      Online          H                4/18/2014   
# ℹ 90 more rows
# ℹ 8 more variables: `Order ID` <dbl>, `Ship Date` <chr>, `Units Sold` <dbl>,
#   `Unit Price` <dbl>, `Unit Cost` <dbl>, `Total Revenue` <dbl>,
#   `Total Cost` <dbl>, `Total Profit` <dbl>