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Interstellar Travel Customer Feedback Metrics
Product Reviews & Feedback
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Free
About
Exploring the factors that influence customer satisfaction within the rapidly expanding sector of interstellar tourism and travel. The central objective of this dataset is to enable prediction and detailed analysis of the Customer Satisfaction Score, which provides vital insights into service quality and overall passenger experience. This resource is suitable for advanced analytical and predictive modelling tasks.
Columns
- Age: Age of the traveller.
- Gender: Gender of the traveller.
- Occupation: Occupation of the traveller, such as Colonist, Tourist, or Businessperson.
- Travel Class: Class of travel, e.g., Business, Economy, or Luxury.
- Destination: Interstellar destination reached by the traveller.
- Star System: The star system where the destination is situated.
- Distance to Destination (Light-Years): The distance to the destination measured in light-years.
- Duration of Stay (Earth Days): Length of time spent at the destination, measured in Earth days.
- Number of Companions: The count of companions accompanying the traveller.
- Purpose of Travel: The primary reason for the trip, e.g., Tourism, Research, or Colonisation.
- Transportation Type: The specific method of transportation used, such as Warp Drive, Solar Sailing, or Ion Thruster.
- Price (Galactic Credits): The cost associated with the trip, denominated in Galactic Credits.
- Booking Date: The date when the trip was initially reserved.
- Departure Date: The scheduled date of departure for the journey.
- Special Requests: Any specific requests made by the traveller.
- Loyalty Program Member: Boolean indicator of membership in a loyalty program.
- Month: The month during which the travel occurred.
- Customer Satisfaction Score: The target variable, reflecting the overall satisfaction level of the customer.
Distribution
The data includes approximately 500,000 individual records, structured across 18 features. The file, named
interstellar_travel.csv, is 77.78 MB in size. The dataset is typically supplied in the CSV file format.Usage
This dataset is ideally suited for developing predictive models that identify key variables impacting traveller satisfaction. Users can conduct analysis to discover trends in interstellar travel, segment customers for precise marketing strategies, and optimise travel services based on quantitative passenger feedback.
Coverage
The scope includes interstellar travel experiences to various destinations and star systems, such as Proxima Centauri and Barnard's Star. The demographic coverage includes travellers aged 16 to 99, with a gender split of 58% Male and 42% Female. Booking dates span from January 2022 to January 2024, while departure dates range from January 2024 to January 2026.
License
CC BY-SA 4.0
Who Can Use It
- Data Scientists and Machine Learning Engineers focused on building models for customer churn or satisfaction prediction.
- Market Analysts studying emerging trends in luxury or specialist travel segments.
- Service Providers looking to refine their operational quality based on quantitative customer feedback metrics.
Dataset Name Suggestions
- Interstellar Travel Customer Feedback Metrics
- Galactic Traveller Satisfaction Data
- Space Tourism Quality Analysis
- Future Travel Experience Scores
Attributes
Original Data Source: Interstellar Travel Customer Feedback Metrics
QUALITY