I am trying to create several new datasets based on an existing dataset. The new datasets should follow the trends (i.e., the correlation within the data) of that existing dataset.
As an example, I would like to create five new datasets very likely to the following (existing) dataset. However, the new datasets do not contain the exact data/value from the following dataset, rather, they contain new data maintaining the similar trends/relationships that is present in the following dataset.
|Column A||Column B||Column C||Column D||Column E||Column B|
I've tried creating dataset using pandas. There are several ways in pandas to create new dataset. Such as, creating a new dataset using multiple columns from the existing dataset, which is creating the subset of that existing dataset. I am not trying to create a subset of the data frame, rather I am trying to create new datasets that maintain the same relationship between the data as the existing one.
I guess I should use Pandas for this. However, I am not getting any lead to solve the problem. Any help is heartily appreciated.