historically used for processes which make use of time-series / simulations & modeling / forcasting. aka weather forcasting, related points in [0]

2) a) Testing with actual 'sensitive' data may not be possible for security reasons (aka payroll information, stock market price influences)[1]. b) insufficent/incomplete information. aka figure out how well what's known matches 'reality' and/or may suggest areas to look for 'missing' pieces in model.

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[0] : https://www.oreilly.com/library/view/practical-time-series/9...

[1] : https://www.k2view.com/what-is-synthetic-data-generation/

historically used for processes which make use of time-series / simulations & modeling / forcasting. aka weather forcasting, related points in [0]

2) a) Testing with actual 'sensitive' data may not be possible for security reasons (aka payroll information, stock market price influences)[1]. b) insufficent/incomplete information. aka figure out how well what's known matches 'reality' and/or may suggest areas to look for 'missing' pieces in model.

-----

[0] : https://www.oreilly.com/library/view/practical-time-series/9...

[1] : https://www.k2view.com/what-is-synthetic-data-generation/