# Licences Vehicles
# https://www.gov.uk/government/statistical-data-sets/all-vehicles-veh01
# Licensed vehicles by body type (quarterly): Great Britain and United Kingdom
library("tidyverse")
data_location <-
"https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/853452/veh0101.ods"
# read_ods can't read ODS directly from the web so download to a temp location
temp_file <- tempfile()
download.file(data_location,
temp_file,
quiet = TRUE,
mode = "wb"
)
df <- readODS::read_ods(temp_file,
skip = 8,
sheet = "VEH0101"
)
# Remove the file from temp directory
file.remove(temp_file)
# Fix some headings
df[10] <- NULL
names(df)[6] <- "Total Goods Vehicles"
# The ODS has two tables in it, keep the top table by locating
# the first empty row and
df <- df %>% slice(1:which(is.na(df$Quarter))[1] - 1)
df <- df %>%
separate(Quarter, into = c("Year", "Quarter"), sep = " Q", convert = TRUE) %>%
mutate_if(is.character, list(~ suppressWarnings(as.numeric(.)))) %>%
fill(Cars:Total, .direction = "up")
names(df) <- make.names(names(df))
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