Skip to contents

Read Data from the ABARES Trade Dashboard

Source: R/read_abares_trade.R
read_abares_trade.Rd

Fetches and imports ABARES trade data. As the data, x, is large, ~1.5GB uncompressed CSV, downloads may be slow. The final object is sorted by "Fiscal_year" and "Month".

Usage

read_abares_trade(x = NULL, code_description = FALSE)

Source

https://daff.ent.sirsidynix.net.au/client/en_AU/search/asset/1033841/0

Arguments

x

A file path providing the file with the data to be imported. The file is assumed to be unarchived (i.e., still zipped). This function does not provide any checking whether this function is the proper function for the provided file. Defaults to NULL, assuming that the file will be downloaded in the active R session.

code_description

Boolean. Include the trade code description, this results in a larger object with long text descriptions for each trade code, and the unit of quantity measure, e.g., "KG" (kilograms), "NO" (number/count), "L" (litres).

Value

A data.table object of the ABARES trade data with the "Trade_code" field as the key for fast subsetting.

Note

Columns are renamed for consistency with other ABARES products serviced in this package using a snake_case format and ordered consistently. "State" reflects the state of origin of the exported goods, not the state in which the port of departure is located; it is therefore expected that "State" and "Australian_port" will not always correspond geographically.

References

https://www.agriculture.gov.au/abares/research-topics/trade/dashboard

See also

Other Trade: read_abares_trade_regions()

Examples

if (FALSE) { # interactive()
trade <- read_abares_trade()

trade

trade_codes <- read_abares_trade(code_description = TRUE)

trade_codes
}