# This script subsets the
# PFU aggregate and efficiency data
# to Austria.
#
# This script fulfills a request for data from
# Caroline Zimm at IIASA.
#
# ---Matthew Kuperus Heun, 12 Sept 2023
pinboard_folder <- PFUSetup::get_abs_paths()[["pipeline_releases_folder"]]
pinboard <- pins::board_folder(pinboard_folder, versioned = TRUE)
agg_eta_pfu_df <- pins::pin_read(board = pinboard,
name = "agg_eta_pfu",
version = "20230619T051304Z-f653c")
agg_eta_pfu_df_aut <- agg_eta_pfu_df |>
dplyr::filter(Country == "AUT",
Product.aggregation == "Specified",
Industry.aggregation == "Specified")
agg_eta_pfu_df_aut |>
write.csv(file = "~/Desktop/AUT-PFU.csv")
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