Synthetic Data Generator

Overview

Generate realistic test datasets with customizable properties including data types (Integer, Float, String, Name, Email, Date, Boolean, Category, UUID), statistical distributions (Uniform, Normal, Exponential, Poisson, Binomial), and schema configurations. Supports preset schemas, missing values, multiple export formats, and reproducible results with random seeds.

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Tips

  • Use preset schemas for quick start with realistic customer data
  • Set a random seed for reproducible datasets across multiple runs
  • Add missing values to simulate real-world data quality issues
  • Choose appropriate distributions: Uniform (equal probability), Normal (bell curve), Exponential (decay/time-to-event)
  • Export to CSV for spreadsheet tools or JSON for programming use
  • Perfect for application testing, demos, privacy protection, and ML experimentation