Nothing
## ----include = FALSE----------------------------------------------------------
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
eval = FALSE
)
## ----setup--------------------------------------------------------------------
# # install.packages("stats19")
# library(stats19)
# library(dplyr)
## -----------------------------------------------------------------------------
# # usethis::edit_r_environ() # and set STATS19_DOWNLOAD_DIRECTORY to keep the data files
# vehicles = get_stats19(type = "vehicle", year = 1979)
# range(vehicles$collision_year)
# # [1] 1979 2024
# sum(is.na(vehicles$generic_make_model)) # 0 NA values
## -----------------------------------------------------------------------------
# # Number of distinct makes and models over the years
# n_per_year = vehicles |>
# filter(collision_year >= 1989) |>
# group_by(collision_year) |>
# summarise(
# n_make_model = n_distinct(generic_make_model),
# percent_na = round(sum(grepl("missing", generic_make_model)) / n() * 100),
# top_5_make_model = paste(
# names(sort(table(generic_make_model), decreasing = TRUE)[2:6]),
# collapse = ", "
# )
# )
# knitr::kable(n_per_year)
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