Travel & Hospitality Dataset Generator

Your First-Class Ticket to Realistic Travel & Hospitality Data. Generate relational data for bookings, flights, hotels, and customers.

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The Ultimate Travel & Hospitality Dataset Generator

Tired of practicing your data analysis skills with simplistic, single-sheet data? Building a realistic hotel performance dashboard, analyzing booking patterns, or forecasting seasonal demand requires a rich, interconnected set of hospitality data—something that’s incredibly hard to find.

Until now.

Welcome to the PNRao Travel & Hospitality Data Generator, a powerful tool designed to create a complete, enterprise-grade hospitality dataset with a single click. Whether you’re an analyst practicing how to calculate RevPAR, a student learning about the hotel industry, or a manager building a business case for a new loyalty program, this generator provides the data you need.

Move beyond simple booking lists and start working with datasets that reflect the complexities of a real-world hotel and travel business.

Why This Dataset is a Powerful Learning Tool

Learning hospitality analytics with abstract numbers can be challenging. This generator provides a realistic context that makes complex concepts easier to grasp.

  • Builds a Narrative: You can step into the role of an analyst for the PNRao Hotels & Resorts chain. Your task could be to identify the most profitable room types, analyze customer review scores, or understand booking lead times. This narrative-driven practice helps solidify your understanding.
  • Makes Concepts Concrete: When you see a Hotel Bookings table linked to Customers and Hotels Master, abstract concepts become tangible. This makes concepts like Revenue Per Available Room (RevPAR), Occupancy Rate, or customer lifetime value easier to understand because you can see how they are built from the ground up.
  • Encourages Realistic Analysis: The rich context inspires more creative and insightful analysis. You might build a dynamic hotel performance dashboard in Power BI or create a report in Excel to forecast demand for the next holiday season. This allows you to practice not just the technical skills, but also the art of data storytelling.

Designed for Real-World Hospitality Analysis

This dataset isn’t just a random collection of tables. It has been carefully crafted to mirror the data structures you will find in actual hotel management and travel systems, making it the perfect tool to develop practical, job-ready skills.

  • Reflects Core Hospitality Operations: Every hotel business deals with bookings, guests, rooms, and revenue. The tables in this generator represent the core of what you will encounter professionally. By understanding how these tables relate to each other, you are learning the fundamental blueprint of hospitality data.
  • Focus on a High-Demand Skillset: Hospitality analytics is a growing field. The skills you build here—analyzing booking patterns, calculating occupancy rates, and understanding customer feedback—are directly transferable to the tasks and challenges you will face in a real data analytics job in this sector.
  • Covers a Wide Range of Concepts: The structure of this data is intentionally designed to be a comprehensive playground for learning. With this single resource, you can practice:
    • Excel/Sheets Functions: Use VLOOKUP or XLOOKUP to connect booking records with hotel details, SUMIFS and COUNTIFS to create summary reports, and PivotTables to analyze revenue by room type.
    • Time-Series Analysis: Analyze booking trends by month or season to practice forecasting.
    • Data Cleaning: Use the “messy data” option to practice cleaning and validating guest records and booking information.
    • Advanced Analysis: The interconnected tables are perfect for practicing relationship-building in Power BI or writing SQL JOIN queries to combine data from multiple sources for a complete analysis.

In short, learning with this dataset ensures you are not just practicing abstract concepts, but preparing yourself with the practical knowledge and experience valued by employers.

Tables Overview

The generator produces a wide array of datasets across different hospitality functions. Each dataset has a unique structure, as detailed below.

Hotel & Bookings

Table Name Description Columns
Hotel Bookings The main fact table for all hotel reservations. BookingID, CustomerID, HotelID, RoomTypeID, BookingDate, CheckInDate, CheckOutDate, NumberOfAdults, NumberOfChildren, Status
Booking Guests Details of guests associated with each booking. BookingGuestID, BookingID, GuestName, Age
Hotels Master A list of all hotel properties. HotelID, HotelName, City, Country, StarRating, TotalRooms

Guest & Loyalty

Table Name Description Columns
Customer Master A list of all unique customers/guests. CustomerID, FullName, Email, Country
Loyalty Program Details of customers in the loyalty program. LoyaltyID, CustomerID, Tier, Points, JoinDate
Customer Reviews Customer feedback and ratings for hotels. ReviewID, BookingID, HotelID, Rating, ReviewDate

Room & Services

Table Name Description Columns
Room Types Master Details of available room types and their rates. RoomTypeID, RoomTypeName, BaseRate, MaxOccupancy
Room Service Orders A log of all in-room dining orders. RoomOrderID, BookingID, OrderDate, ItemName, Quantity, Price

Flights & Transportation

Table Name Description Columns
Flight Bookings Records of flights booked as part of a travel package. FlightBookingID, BookingID, AirlineID, FlightNumber, DepartureAirport, ArrivalAirport, FlightDate
Airlines Master A master list of partner airlines. AirlineID, AirlineName, Alliance

Performance & Finance

Table Name Description Columns
Hotel Performance Summary Monthly performance metrics for each hotel. PerfID, HotelID, Month, Year, OccupancyRate, AverageDailyRate, RevPAR
Booking Revenue Detailed revenue breakdown for each booking. RevenueID, BookingID, RoomRevenue, RoomServiceRevenue, TotalRevenue

How to Use This App

  1. Select a Table to Preview: Use the “Select Table to Preview” dropdown menu to choose the type of data you want to inspect.
  2. Specify the Number of Bookings: Enter the desired number of hotel bookings. This is the main driver; a higher number will generate more related records in all other tables.
  3. Configure Advanced Options (Optional): Click on Advanced Options to expand the menu.
    • Date Range: Select a Start Date and End Date to constrain the generated data to a specific time period.
    • Data Quality: Choose the quality of your dataset (Clean, Slightly Messy, or Very Messy).
  4. Generate the Data: Click the “Generate All Datasets” button. The application will process your request and display a preview of your selected table.
  5. Download Your Data:
    • Preview: To quickly download just the data shown in the preview table, click “Download Preview (CSV)” or “Download Preview (Excel)”.
    • All Related Tables: Click “Download All Tables (Excel)” to download a single Excel file with every table on a separate, clearly named sheet. This is the best option for relational analysis.

How to Use This Data

  • For Data Analysts & BI Professionals:
    • Hotel Dashboards: Use the Hotel Bookings, Hotels Master, and Hotel Performance tables to build an executive-level dashboard in Tableau or Power BI.
    • Customer Analysis: Analyze booking channels, lead times, and customer loyalty tiers to understand guest behavior.
    • Practice SQL: Load the tables into a database and practice writing complex JOIN queries to combine guest, booking, and revenue data.
  • For Students & Educators:
    • Create realistic case studies for hospitality management, business, and data science courses.
    • Use the data as a foundation for assignments on calculating key hospitality metrics like Occupancy, ADR, and RevPAR.

Feedback & Suggestions

This tool is built for you. If you have an idea for a new hospitality table or an improvement, please leave your feedback in the comments section below.