Synthetic Data Augmentation with Copulas

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1

Hi all! :wave:

I created a KNIME workflow that uses the Synthetic Data (Copulas) component to perform data augmentation on tabular datasets.

It starts with the Iris dataset , generates 500 synthetic rows using a Gaussian copula, and compares the real and synthetic data using Statistics , Linear Correlation , and a 3D scatter plot for visual inspection.

Great for testing, privacy, or boosting small datasets.

Check it out!

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Cool idea - thanks for posting it!

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I can’t find the conda packages anywhere. Could you suggest how to install them? My Python skills are weak at best.

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If you like the Iris Data, I can also recommend the New Iris Data :slight_smile:

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