Currently I create a synthetic dataset using the python sdv package and an existing dataset as below:

import pandas as pd
import sdv.tabular as sd_tab

file_path = 'E:/csv_files/vee_bg_data.csv'

df = pd.read_csv(file_path)
model = sd_tab.GaussianCopula()
sample = model.sample(200)

The generated dataset has the same format properties and statistics as the provided dataset.

However, I would like to generate a dataset, where the properties of ONLY some features are different from the provided dataset. How can I do this?

A python-based solution is most preferrable, but any technique is fine.



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