Dataset Viewer
The dataset viewer is not available because its heuristics could not detect any supported data files. You can try uploading some data files, or configuring the data files location manually.
Tourism Dataset
Dataset Description
This dataset contains information related to tourism, including customer details, travel preferences, and booking information.
Dataset Contents
The dataset contains the following columns:
Unnamed: 0: Index column (can likely be ignored).CustomerID: Unique identifier for each customer.ProdTaken: Indicates whether the customer took the product (e.g., a tourism package).Age: Age of the customer.TypeofContact: How the customer was contacted (e.g., Self Enquiry, Company Invited).CityTier: Tier of the city the customer is from.DurationOfPitch: Duration of the sales pitch in minutes.Occupation: Occupation of the customer.Gender: Gender of the customer.NumberOfPersonVisiting: Number of persons visiting with the customer.NumberOfFollowups: Number of follow-up interactions with the customer.ProductPitched: The type of product pitched to the customer.PreferredPropertyStar: Preferred star rating of the property.PreferredFoodStar: Preferred star rating of the food.FirstTripThisYear: Whether this is the customer's first trip this year.NumberOfTrips: Total number of trips taken by the customer.Passport: Indicates if the customer has a passport.PitchSatisfactionScore: Score indicating satisfaction with the pitch.OwnCar: Indicates if the customer owns a car.NumberOfChildrenVisiting: Number of children visiting with the customer.Designation: Designation of the customer.MonthlyIncome: Monthly income of the customer.
Dataset Source
This dataset is likely a simulated or collected dataset related to a tourism company's customer interactions and sales. The specific source is not explicitly stated in the provided data.
Usage
This dataset can be used for various analytical tasks, including:
- Predicting whether a customer will take a product (
ProdTaken). - Analyzing factors influencing customer decisions.
- Segmenting customers based on their characteristics and preferences.
License
(Specify the license if known, otherwise state unknown or leave as a placeholder)
- Downloads last month
- 4