Airfares in New Zealand
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset presents the domestic airfares of New Zealand’s airlines (dominating by Air New Zealand, a full-service carrier; and Jetstar, a low-cost carrier) at 12 trunk routes and 40 secondary routes in New Zealand. The data was extracted from Expedia, one of the biggest online travel meta-search engine, using a ‘web crawler’ (Octoparse.com) that collects hourly airfares of the two airlines from September 19, 2019 to December 18, 2019, a total of 90 days. It therefore provides a rich dataset of more than 162,000 observations regarding the departure time, arrival time, flight duration, airline, airfare, departure airport, arrival airport, transiting airport, and so on… That information can be conveniently used in future studies in the fields of business and economics, transportation and aviation, or management and marketing' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["airfares","aviation","New Zealand"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This dataset presents the domestic airfares of New Zealand’s airlines (dominating by Air New Zealand, a full-service carrier; and Jetstar, a low-cost carrier) at 12 trunk routes and 40 secondary routes in New Zealand. The data was extracted from Expedia, one of the biggest online travel meta-search engine, using a ‘web crawler’ (Octoparse.com) that collects hourly airfares of the two airlines from September 19, 2019 to December 18, 2019, a total of 90 days. It therefore provides a rich dataset of more than 162,000 observations regarding the departure time, arrival time, flight duration, airline, airfare, departure airport, arrival airport, transiting airport, and so on… That information can be conveniently used in future studies in the fields of business and economics, transportation and aviation, or management and marketing' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This dataset presents the domestic airfares of New Zealand’s airlines (dominating by Air New Zealand, a full-service carrier; and Jetstar, a low-cost carrier) at 12 trunk routes and 40 secondary routes in New Zealand. The data was extracted from Expedia, one of the biggest online travel meta-search engine, using a ‘web crawler’ (Octoparse.com) that collects hourly airfares of the two airlines from September 19, 2019 to December 18, 2019, a total of 90 days. It therefore provides a rich dataset of more than 162,000 observations regarding the departure time, arrival time, flight duration, airline, airfare, departure airport, arrival airport, transiting airport, and so on… That information can be conveniently used in future studies in the fields of business and economics, transportation and aviation, or management and marketing
airfares; aviation; New Zealand