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In my problem, I am having a lot of variables - easily 10-15 If this was a 2 dimensional data then I would plot these and visualize the plots to identify certain abnormalities.

But with so many variables, I don't know how to visualize so many variables.

Any suggestions how to think about so many variables?

Karolis Koncevičius
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Sharanbr
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    There are a lot of ways to think about visualizing high-dimensional data: [tag:multidimensional-scaling], [tag:t-sne], [tag:pca], [tag:self-organizing-maps], [tag:dimensionality-reduction]. Can you clarify specifically what you are interested in knowing about your data? – Sycorax Aug 12 '18 at 18:35
  • I think you will find the information you need in the linked thread. Please read it. If it isn't what you want / you still have a question afterwards, come back here & edit your question to state what you learned & what you still need to know. Then we can provide the information you need without just duplicating material elsewhere that already didn't help you. – gung - Reinstate Monica Aug 12 '18 at 21:42
  • you could use the algorithm umap for dimensionality reduction. –  Aug 13 '18 at 08:00

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