Count orders by department — count_orders

Groups and counts orders of the dataset by their department, using zip codes.

Usage

count_orders_dpt(df, zip = zip)

Arguments

df: A dataframe of Delivraide orders
zip: The column for zip code (default: zip). Note: do not add quotes around the column name.

Value

A dataframe with the number of orders for each department.

Examples

#' # Load the sample orders data
data(sample_orders_data)

# Group and count orders per department
dpt_orders <- count_orders_dpt(sample_orders_data)
#> Error in mutate(filter(summarise(group_by(mutate(filter(df, !is.na(zip),     nchar(as.character(zip)) == 5), departement = str_sub(as.character(zip),     start = 1, end = 2)), departement), dpt_orders = n()), departement !=     "0."), perc = scales::percent(dpt_orders/sum(dpt_orders),     accuracy = 0.1, trim = FALSE)): ℹ In argument: `perc = scales::percent(dpt_orders/sum(dpt_orders),
#>   accuracy = 0.1, trim = FALSE)`.
#> Caused by error in `loadNamespace()`:
#> ! there is no package called ‘scales’