The Data Generation function allows you to generate data

Having a sufficient sample of lifelike data will greatly improve the application development process. In most cases, when you start working on a project, you don’t have the luxury of having a complete database that can be used in development and testing. You can easily create such a database using a random data generator.

No matter how many datasets a generator can create, there are cases when you have to provide custom definitions to accommodate your particular needs. You can provide data in multiple languages. You don’t have to worry if your code demands values ​​in multiple languages. Extending the data set to support other languages ​​is easy.

Implementing and testing pagination and sorting is more reliable when we have a large number of database records to work with. Providing a thousand more objects is trivial when they are generated automatically. Thanks to the random data generator, you can easily verify how the code handles paging and sorting a large number of entities.

The abundance of available values ​​not only helps verify that the layout of tables, cards, lists, and many other UI elements is flawless but can also reveal some formatting issues.

Manual input is a waste of resources, it gets more expensive as time goes on and the application work progresses. Therefore, using a random data generator to falsify the appropriate information will save you a lot of valuable time.

Random data generation function, which can be useful for testing purposes. These functions generate random values ​​each time. Each value is independent of any other value returned by another call to the function. The underlying algorithm generates pseudo-random values. Thus values ​​are not truly random or independent, but without knowing the algorithm, values ​​are inherently unpredictable, usually evenly distributed if the sample size is large, and pseudo-independent of each other.