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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?

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    $\begingroup$ There are a lot of ways to think about visualizing high-dimensional data: multidimensional-scaling, t-sne, pca, self-organizing-maps, dimensionality-reduction. Can you clarify specifically what you are interested in knowing about your data? $\endgroup$
    – Sycorax ♦
    Commented Aug 12, 2018 at 18:35
  • $\begingroup$ 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. $\endgroup$
    – gung - Reinstate Monica
    Commented Aug 12, 2018 at 21:42
  • $\begingroup$ you could use the algorithm umap for dimensionality reduction. $\endgroup$
    – user16491
    Commented Aug 13, 2018 at 8:00

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