tsibble (version 0.5.2)

tourism: Australian domestic overnight trips

Description

A dataset containing the quarterly overnight trips from 1998 Q1 to 2016 Q4 across Australia.

Usage

tourism

Format

A tsibble with 23,408 rows and 5 variables:

• Quarter: Year quarter (index)

• Region: The tourism regions are formed through the aggregation of Statistical Local Areas (SLAs) which are defined by the various State and Territory tourism authorities according to their research and marketing needs

• State: States and territories of Australia

• Purpose: Stopover purpose of visit:

  • "Holiday"

  • "Visiting friends and relatives"

  • "Business"

  • "Other reason"

• Trips: Overnight trips in thousands

Details

This data gives an example of nested and crossed time series structure. Region and State together form a geographical hierarchy. In other words, Region is nested into State. These two geographical variables are crossed with Purpose of visit. The resulting structure is Region | State, Purpose.

References

Tourism Research Australia

Examples

# NOT RUN {
data(tourism)
# nesting and crossed structure
key(tourism)
# Total trips over geographical regions
tourism %>% 
  group_by(Region, State) %>% 
  summarise(Total_Trips = sum(Trips))
# }