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Traveler Trip Dynamics Dataset
Data Science and Analytics
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About
This dataset offers detailed information about various trips undertaken by travellers. It encompasses crucial details such as destination, specific travel dates, the duration of the trip in days, and demographic information about the traveller, including their name, age, gender, and nationality. Furthermore, it provides insights into the type and cost of both accommodation and transportation utilised for each trip. The dataset serves as a valuable resource for understanding travel patterns, preferences, and behaviours of diverse traveller segments. It is particularly useful for travel-related businesses, such as travel agencies, enabling them to craft targeted marketing strategies and develop bespoke travel packages that align with varying traveller needs and preferences. It is important to note that this dataset was generated by large language models solely for educational purposes, and commercial use is strictly prohibited.
Columns
- Trip ID: A unique identifier for each individual trip recorded.
- Destination: The specific city or country visited by the traveller.
- Start date: The calendar date when the traveller commenced their trip.
- End date: The calendar date when the traveller concluded their trip.
- Duration (days): The total number of days the traveller spent on the trip.
- Traveler name: The full name of the traveller.
- Traveler age: The age of the traveller at the time of the trip.
- Traveler gender: The gender identity of the traveller.
- Traveler nationality: The nationality of the traveller.
- Accommodation type: The specific type of lodging used by the traveller, such as a hotel, hostel, or Airbnb.
- Accommodation cost: The total cost of the accommodation for the entire duration of the trip.
- Transportation type: The primary mode of transport used by the traveller, for instance, plane, train, or car.
- Transportation cost: The total cost associated with the transportation for the entire trip.
Distribution
The dataset is provided in a CSV (Comma Separated Values) format, typically with the filename
travel details dataset.csv. The file size is 13.03 kB and it contains 13 columns. There are 139 records in the dataset, with a small number of missing values across some columns (e.g., 2 records missing for Destination, Start date, End date, Duration (days), Traveler name, Traveler age, Traveler gender, Traveler nationality, Accommodation type, and Accommodation cost; 3 records missing for Transportation type and Transportation cost).Usage
This dataset is ideally suited for various applications, including:
- Analysing travel patterns: Identifying trends in destinations, trip durations, and travel dates.
- Understanding traveller preferences: Gaining insights into popular accommodation types, transportation choices, and cost considerations among different demographics.
- Behavioural research: Studying how age, gender, and nationality influence travel decisions.
- Market research for travel businesses: Informing the creation of targeted marketing campaigns and tailored travel packages.
- Educational exercises: Utilising the data for academic projects, data analytics training, and learning about dataset structure and analysis. It is important to reiterate that this dataset is intended solely for educational use, and any commercial application is strictly prohibited.
Coverage
The dataset's scope includes:
- Geographic: It covers a wide range of destinations, with examples like Tokyo, Japan and Paris, France, along with 125 other unique locations. Traveller nationalities include American (17%), Korean (9%), and 102 other nationalities, totalling 41 unique nationalities.
- Time Range: The recorded trips span from 15 June 2021 to 21 May 2025 for start dates, and from 20 June 2021 to 29 May 2025 for end dates.
- Demographic: Traveller ages range from 20 to 60 years, with a mean age of 33.2 years. The gender distribution is approximately 50% Female and 48% Male.
License
Attribution 4.0 International (CC BY 4.0)
Who Can Use It
- Students and Academics: For educational projects, research on tourism trends, and learning data analysis techniques.
- Travel Agencies and Businesses (for non-commercial learning/strategy development): To understand traveller preferences and inform the development of theoretical marketing strategies or travel package ideas, keeping the non-commercial restriction in mind.
- Data Analysts and Scientists: For practicing data cleaning, exploration, and model building with a real-world (though synthetically generated) travel dataset.
Dataset Name Suggestions
- Traveler Trip Dynamics Dataset
- Global Traveller Insights
- Trip Planner Data
- Accommodation & Transport Analysis Dataset
- Demographic Travel Behaviour
Attributes
Original Data Source: Traveler Trip Dynamics Dataset
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