Real Estate Dataset Generator

The Best Way to Practice with Realistic Property & Listing Data.Create relational datasets for property analysis.

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The Ultimate Real Estate Dataset Generator

Every real estate analyst knows the challenge: understanding market trends, evaluating property values, or tracking agent performance requires a complex, multi-faceted dataset. Finding realistic practice data that connects property listings, sales transactions, and agent information is nearly impossible.

That’s why we built the PNRao Real Estate Data Generator.

This powerful tool creates a complete, enterprise-grade real estate dataset with a single click. Whether you’re an agent building a sales dashboard, a student learning about property valuation, or a data analyst forecasting market trends, this generator provides the data you need. Stop working with simple property lists and start analyzing the entire real estate ecosystem.

Why This Dataset is a Powerful Learning Tool

Learning real estate 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 a Real Estate Analyst for the PNRao Realty Group. Your task could be to identify the most profitable property types, analyze the average days on market, or determine which agents are closing the most deals. This narrative-driven practice helps solidify your understanding.
  • Makes Concepts Concrete: When you see a Property Sales table linked to Listings and Agents, abstract concepts become tangible. This makes metrics like Average Sale Price, Commission Calculation, and Days on Market 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 property dashboard in Power BI or create a report in Excel to compare sales performance across different neighborhoods. This allows you to practice not just the technical skills, but also the art of data storytelling.

Designed for Real-World Real Estate 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 Multiple Listing Service (MLS) and real estate brokerage systems, making it the perfect tool to develop practical, job-ready skills.

  • Reflects Core Real Estate Operations: Every brokerage deals with listings, agents, sales, and clients. 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 real estate data.
  • Focus on a High-Demand Skillset: Real estate analytics is a critical function for any brokerage or investment firm. The skills you build here—analyzing market trends, evaluating property prices, and tracking agent productivity—are directly transferable to the tasks and challenges you will face in a real data analytics or real estate job.
  • 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 sales records with property details, SUMIFS and COUNTIFS to create summary reports, and PivotTables to analyze sales volume by agent.
    • Market Analysis: Use the data to practice comparative market analysis (CMA) or to identify trends in property prices over time.
    • Data Cleaning: Use the “messy data” option to practice cleaning and validating property listings and client 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 real estate functions. Each dataset has a unique structure, as detailed below.

Listings & Properties

Table Name Description Columns
Property Listings The master list of all properties for sale. ListingID, PropertyAddress, City, State, ZipCode, PropertyType, ListingPrice, SquareFootage, Bedrooms, Bathrooms, YearBuilt, AgentID, ListingDate, Status
Property Features Details about the features of each property. FeatureID, ListingID, HasGarage, HasPool, HasBasement, LotSize_Acres
Open Houses A log of all open house events. OpenHouseID, ListingID, Date, StartTime, EndTime, AgentOnDutyID

Agents & Sales

Table Name Description Columns
Agents Master A list of all real estate agents. AgentID, FullName, BrokerageName, Email, PhoneNumber, HireDate
Sales Transactions A record of all completed property sales. SaleID, ListingID, BuyerClientID, SellerClientID, AgentID, SaleDate, SalePrice, CommissionRate
Agent Performance A summary of each agent’s sales performance. AgentID, Year, TotalSalesVolume, PropertiesSold, AverageCommission

Clients & Leads

Table Name Description Columns
Client Master A list of all unique clients (buyers and sellers). ClientID, FullName, Email, PhoneNumber, ClientType
Lead Funnel Tracks potential clients through the sales funnel. LeadID, FullName, LeadSource, DateCreated, AgentID, Status

Financials

Table Name Description Columns
Commissions Payable A log of commissions owed to agents. CommissionID, SaleID, AgentID, CommissionAmount, DatePaid
Marketing Expenses A record of marketing expenses for listings. ExpenseID, ListingID, ExpenseType, Amount, DateIncurred

Market Data

Table Name Description Columns
Neighborhoods A master list of neighborhoods and their cities. NeighborhoodID, NeighborhoodName, City
Market Trends A monthly summary of market statistics by city. TrendID, City, Month, Year, MedianSalePrice, AverageDaysOnMarket

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 Properties: Enter the desired number of property listings. 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:
    • Real Estate Dashboards: Use the Property Listings, Sales Transactions, and Agents Master tables to build an executive-level dashboard in Tableau or Power BI.
    • Market Analysis: Analyze the Market Trends table to identify hot markets and trends in property prices.
    • Practice SQL: Load the tables into a database and practice writing complex JOIN queries to link agents to their sales and commissions.
  • For Students & Educators:
    • Create realistic case studies for real estate, finance, and business courses.
    • Use the data as a foundation for assignments on calculating agent commissions, analyzing days on market, and performing comparative market analysis.

Feedback & Suggestions

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