How To Use Generative AI and Python to Create Designer Dummy Datasets | by Mia Dwyer | Apr, 2024
Have you ever had a need for a dataset that doesn’t easily exist? Wanted to easily generate data that matches your exact requirements for interviewing prospective data science candidates, software testing + development, or training models? Or what about just wanting the right data to use to demonstrate skills + techniques for a Medium article (that doesn’t violate copyright laws)?
Enter dummy data! 📊✨
Until recently, creating dummy datasets was somewhat tedious and arduous, the technical folks among us could generate if with expertly written python code, but coding up all your requirements by hand can be time intensive and has a high technical barrier to entry.
Let’s say we have a use case where we want to test a candidate applying for data science to a fintech, and there are real world patterns we want them to be able to identify and discuss, but for privacy reasons we cannot share actual customer transaction data externally.
The solution? Leverage the power of Generative AI to expertly craft complex python code to output our ✨Designer Dummy Datasets✨
