################################################################################
# Joshua C. Fjelstul, Ph.D.
# eutr R package
################################################################################
# this script requires raw data that is not available in the GitHub repo
##################################################
# read in data
##################################################
# files
files <- stringr::str_c("data-raw/XLS-files/", list.files("data-raw/XLS-files/"))
# read in files
raw <- list()
for (i in 1:length(files)) {
raw[[i]] <- readxl::read_excel(files[i])
names(raw[[i]]) <- c("member_state", "notification_number", "title", "reception_date", "end_standstill")
}
# stack data frames
notifications_raw <- dplyr::bind_rows(raw)
# drop header rows
notifications_raw <- dplyr::filter(notifications_raw, stringr::str_detect(notification_number, "[0-9]+/[0-9]+/[A-Z]+"))
##################################################
# dates
##################################################
# start date
notifications_raw$start_date <- lubridate::ymd(notifications_raw$reception_date)
# end date
notifications_raw$end_date <- suppressWarnings(lubridate::ymd(notifications_raw$end_standstill))
# start year
notifications_raw$start_year <- lubridate::year(notifications_raw$start_date)
# start month
notifications_raw$start_month <- lubridate::month(notifications_raw$start_date)
# start day
notifications_raw$start_day <- lubridate::day(notifications_raw$start_date)
# end year
notifications_raw$end_year <- lubridate::year(notifications_raw$end_date)
# end month
notifications_raw$end_month <- lubridate::month(notifications_raw$end_date)
# end day
notifications_raw$end_day <- lubridate::day(notifications_raw$end_date)
# duration
notifications_raw$duration <- as.numeric(notifications_raw$end_date - notifications_raw$start_date)
# clean end day
notifications_raw$end_day[notifications_raw$duration < 0] <- NA
##################################################
# organize
##################################################
# sort by date, then by notification number
notifications_raw <- dplyr::arrange(notifications_raw, start_date, notification_number)
# key ID
notifications_raw$key_id <- 1:nrow(notifications_raw)
# select variables
notifications_raw <- dplyr::select(
notifications_raw,
key_id, member_state, notification_number,
start_date, start_year, start_month, start_day,
end_date, end_year, end_month, end_day
)
# save
save(notifications_raw, file = "data-raw/notifications_raw.RData")
################################################################################
# end R script
################################################################################
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