A dataset containing quarterly estimates of overnight tourism trips in Australia, broken down by trip purpose and tourism region.
Format
A data frame with `r nrow(tourism_quarterly)` rows and 4 variables:
* **year**: The year of the tourism data
* **quarter**: Quarter number like 1, 2, 3, 4
* **purpose**: Purpose of visit category:
- `"Holiday"`
- `"Business"`
* **trips**: Number of overnight trips (in thousands).
* **region_id**: Unique integer identifier linking to the
tourism_region dataset.
* **ws_id**: Identifier of the nearest Bureau of Meteorology weather station
to the tourism region.
Details
Tourism regions are formed through the aggregation of Statistical
Local Areas (SLAs) or similar ABS-defined geographies, as determined
by state and territory tourism authorities. This dataset is designed
for analysis of seasonal tourism patterns and can be joined to
tourism_region for spatial analysis.
References
Tourism Research Australia: https://www.tra.gov.au
Examples
data(tourism_quarterly)
head(tourism_quarterly)
#> # A tibble: 6 × 6
#> year quarter purpose trips region_id ws_id
#> <dbl> <int> <chr> <dbl> <int> <chr>
#> 1 2014 4 Business 3.27 4 946830-99999
#> 2 2014 4 Business 1.71 6 948650-99999
#> 3 2014 4 Business 105. 9 946750-99999
#> 4 2014 4 Holiday 96.3 9 946750-99999
#> 5 2014 4 Holiday 37.2 14 943840-99999
#> 6 2014 4 Business 11.3 16 943680-99999