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Load data from faostat bulk download into R data frames
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base_url_FAO <- "http://fenixservices.fao.org/faostat/static/bulkdownloads/" | |
food_files <- c("CommodityBalances_Crops_E_All_Data.zip", | |
"CommodityBalances_LivestockFish_E_All_Data.zip") | |
load_fao <- function(file_name, base_url = base_url_FAO, data_folder="raw_data"){ | |
download.file(paste0(base_url, file_name), | |
file.path(data_folder, file_name)) | |
} | |
# Load one file | |
load_fao(food_files[1]) | |
# Load all files | |
for(f in food_files){ | |
print(f) | |
load_fao(f) | |
} | |
# Function to read zipped files and return a data frame | |
#' @param file_name character file name | |
#' @param data_folder character path to the data | |
#' @return data frame of fao data | |
read_fao <- function(file_name, data_folder="raw_data"){ | |
csv_file_name <- gsub(".zip$",".csv", file_name) | |
read.csv(unz(file.path(data_folder, file_name), csv_file_name), | |
stringsAsFactors = FALSE) | |
} | |
# Read files and assign them to data frames | |
Crops_E <- read_fao("CommodityBalances_Crops_E_All_Data.zip") | |
saveRDS(Crops_E,"raw_data/Crops_E.rds") | |
LivestockFish_E <- read_fao("CommodityBalances_LivestockFish_E_All_Data.zip") | |
saveRDS(LivestockFish_E, "raw_data/LivestockFish_E.rds") |
I simplified the functions, reduced the number of arguments in this gist.
Example use:
url_forestry <- "http://fenixservices.fao.org/faostat/static/bulkdownloads/Forestry_E_All_Data_(Normalized).zip"
download_faostat_bulk(url_forestry)
forestry_e_all_data <- read_faostat_bulk("data_raw/Forestry_E_All_Data_(Normalized).zip")
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Nice @fbiga can you please add a licence, such as MIT?