# Load packages and the cleaned LEMIS dataset
library(dplyr)
library(readr)
library(stringr)
h <- here::here
lemis_to_save <- read_csv(
h("data-raw", "lemis_2000_2014_cleaned.csv"),
col_types = cols(
.default = col_character(),
control_number = col_integer(),
quantity = col_integer(),
value = col_integer(),
disposition_date = col_date(format = "%Y-%m-%d"),
disposition_year = col_integer(),
shipment_date = col_date(format = "%Y-%m-%d"),
shipment_year = col_integer()
)
)
#==============================================================================
# Generate a validation plot directory, if needed
plot.dir <- h("data-raw", "validation_plots")
if(!file.exists(plot.dir)) dir.create(plot.dir)
# Generate validation plots for all LEMIS fields besides 'control_number'
for (i in colnames(lemis_to_save)[-1]) {
print(i)
png(
filename = h("data-raw", "validation_plots", paste0(i, "_plot1.png")),
width = 1200, height = 600
)
plot(
table(lemis_to_save[i], useNA = "ifany"),
main = paste0(i, " values"), ylab = "Frequency"
)
dev.off()
png(
filename = h("data-raw", "validation_plots", paste0(i, "_plot2.png")),
width = 1200, height = 600
)
plot(
table(str_length(unlist(lemis_to_save[i])), useNA = "ifany"),
main = paste0(i, " string length"), ylab = "Frequency"
)
dev.off()
}
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