Stata VS Randommer

• Comprehensive Statistical Tool
  Stata offers a wide array of built-in statistical procedures, making it ideal for complex data analysis and research.
• User-Friendly Interface
  With a graphical user interface and command syntax, Stata caters to both novice and experienced users, improving ease of use and flexibility.
• Extensive Documentation
  Stata provides thorough documentation and a vast range of tutorials, which can help users quickly find solutions and learn new techniques.
• Strong Community Support
  Stata has an active user community and mailing list, enabling users to share knowledge, scripts, and advice efficiently.
• Cross-Platform Compatibility
  Stata is available for Windows, Mac, and Linux, allowing users to work on their preferred operating system without any compromise.
• Reproducible Research
  Stata promotes reproducible research by providing tools for scripting and automation, ensuring that analyses can be easily replicated and verified.

Possible disadvantages

• High Cost
  Compared to some other statistical software, Stata can be expensive, particularly for individual users or small organizations without access to institutional licenses.
• Steep Learning Curve
  Despite its user-friendly interface, mastering Stata's full capabilities requires time and a considerable learning effort, which can be daunting for beginners.
• Limited Graphical Capabilities
  While adequate for many purposes, Stata's graphical capabilities are not as advanced as some other software options like R or Python's visualization packages.
• Less Flexible for Custom Development
  Compared to open-source languages like R or Python, Stata is less flexible for custom development and integration with other software, which might limit advanced users.
• Resource Intensive
  Stata can be resource-heavy, requiring substantial computing power for large datasets or complex operations, potentially limiting its use on lower-end machines.

• Versatility
  Randommer offers a wide variety of random data generation tools, making it suitable for diverse applications—from generating fake personal data to creating random numbers and lists.
• User-Friendly Interface
  The platform features a straightforward and easy-to-navigate interface that allows users to quickly access the tools they need without a steep learning curve.
• API Availability
  Randommer provides APIs for most of its functionalities, which are useful for developers who want to integrate random data generation into their own applications.
• Free Access
  Many of the resources on Randommer are available for free, enabling users to access random generation tools without a financial commitment.

Possible disadvantages

• Limited Data Types
  While there are many tools available, the range of data types is somewhat limited if users need very specific or niche random data.
• Internet Dependence
  Since Randommer is an online service, an active internet connection is required, limiting access in offline scenarios.
• API Rate Limits
  API access may be subject to rate limits, which could be a drawback for users needing to generate large quantities of data rapidly.
• Security and Privacy Concerns
  There may be concerns over the security and privacy of data when using online random data generators, especially for applications that require confidentiality.

What's it like–Getting started in Stata

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Tracking Stata since Mar 2021.

• I'm not brave enough to start a single project even after months of learning

  With your second program, refactor your first to use something like https://randommer.io/ to return the random number. That will be your ONLY API call. Look up JSON Deserialization for GET requests to see how you can get your API call's... Source: about 4 years ago

• Does anyone deployed .Net5 Web app in DigitalOcean? How is the experience?

  I have multiple websites on a DigitalOcean( ref link - you get 100$, I get $25) droplet (including Randommer - over 5000 daily visits) and I highly recommend it. Source: over 4 years ago