Fillr.app VS Random Data

• Presets
  Capture any web form as a reusable preset — refill in one click
• Filling Rules
  Per-field fill rules: generated data, fixed value, your own data, or skip
• Datasets
  Datasets module: build, generate, or import rows of test data
• Your Data
  Fill forms with your own imported data, not just fake values
• Bulk Data Generation
  Use presets schema to generate bulk of data
• 60+ locales
  60+ locales for realistic, region-specific test data

• Variety of Data Types
  Random Data offers a wide range of random data types, providing versatile use cases for developers and testers needing diverse datasets.
• Ease of Use
  The website's interface is intuitive and user-friendly, allowing users to easily generate and download random data quickly.
• Free Access
  Users can access and use the random data generated on the website without any cost, making it an economical choice for many.
• Customization Options
  Random Data allows users to customize parameters for the data generated, enabling tailored datasets for specific needs.

Possible disadvantages

• Data Quality and Relevance
  As the data is randomly generated, it might lack real-world relevance and accuracy required for certain applications or testing scenarios.
• Limited Support
  The platform may not offer comprehensive support or documentation, which could be a hurdle for users needing guidance or facing issues.
• Scalability Issues
  For large-scale data generation, the website may not efficiently handle high volumes, which could be restrictive for big data applications.
• Dependency on Internet Connection
  Users need a stable internet connection to access and use the random data services available on the website, limiting offline usability.

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Excel: How to generate random data based upon known percentage distribution