The goal of ecoharmonizeR is to …
This is how the installation works:
devtools::install_github("datapumpernickel/ecoharmonizeR")Note, that one of the dependencies cannot be installed from CRAN, but is
needed for the column transformation of Eurostat data. Install comRex
using:
devtools::install_github("datapumpernickel/comRex")This is how you could download the same data from four different sources (note that you need API Keys for some of these packages) and harmonize them to be able to compare some of their values.
You need the dev version of comtradr to use the bulk download facility.
library(ecoharmonizeR)
library(comRex)
library(comtradr)
library(Rat.las)
digits <- 2
download_dataverse_atlas(digits = digits, years = 2010)
atlas_data <- read_dataverse_atlas(digits = digits, years = 2010) |>
mutate(classification_code = str_c("HS",digits))
comrex_data <- cr_get_data(
freq = "A",
reporter = "DE",
partner = NULL,
product = "27",
indicators = NULL,
time = 2010,
flow = "1",
update = F,
verbose = T,
ds_id = "045409"
)
comtrade_data <-ct_get_data(
reporter = 'DEU',
frequency = "A",
partner = "everything",
commodity_code = "27",
start_date = 2010,
end_date = 2010)
comtrade_bulk <-ct_get_bulk(
reporter = 'DEU',
start_date = 2010,
end_date = 2010)
clean_atlas <-
harmonize(atlas_data, source = "atlas") |>
filter(cmd_code == "27",
reporter_iso == "DEU",
time == 2010,
flow_desc == "import")
clean_comrex <-
harmonize(comrex_data, source = "comex") |>
filter(cmd_code == "27",
reporter_iso == "DEU",
time == 2010,
flow_desc == "import")
clean_comtrade_data <-
harmonize(comtrade_data, source = "comtrade") |>
filter(cmd_code == "27",
reporter_iso == "DEU",
time == 2010,
flow_desc == "import")
clean_comtrade_bulk <-
harmonize(comtrade_bulk, source = "comtrade_bulk") |>
filter(cmd_code == "27",
reporter_iso == "DEU",
time == 2010,
flow_desc == "import")
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