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Read Historical Forecast Database From ABARES

Usage

read_historical_forecast_database()

read_historical_forecast()

Value

A data.table::data.table object.

Details

FieldDescription
CommodityBroad description of commodity (includes the Australian dollar)
Estimate_typeBroad grouping of estimate by theme e.g., animal numbers, area, production, price, export and volume measures.
Estimate_descriptionDetailed description of each series.
UnitMeasurement unit of series. e.g., kt, $m, $/t.
RegionRelevant region for each series. “World” denotes relevant international market.
Year_IssuedYear that forecast was originally issued.
Month_issuedMonth that forecast was originally issued.
Year_Issued_FYAustralian financial year (July-June) that forecast was originally issued.
Forecast_Year_FYAustralian financial year (July-June) for which the forecast was issued. Where forecast year is earlier than Year Issued (FY), value is a backcast.
Forecast_ValueForecast as originally issued.
Actual_ValueActual outcome observed. Note that historical time series can be revised. Latest available data at time of update, including any revisions, are included in database.

Note

Columns are renamed for consistency with other ABARES products serviced in this package using a snake_case format and ordered consistently.

The "Month_issued" column is converted from a character string to a numeric value representing the month of year, e.g., "March" is converted to 3.

Data Dictionary

The resulting object will contain the following fields.

Examples

if (FALSE) { # interactive()

read_historical_forecast_database()

# or shorter
read_historical_forecast()
}