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I have a dataset of customers:

age  height  weight eye_colour
30    174    74       Nan
20    191    71       Nan
28    165    56       Brown
...

I would like to identify similarities between customers where the eye_colour is Nan in order to help identify the cause of this missing value.

Is there any method to help identify similarities?

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In general identifying similarities is done with clustering, but in this case what you're looking for is a potential pattern in the data leading to a missing value in a specific column, right? So I would try to train a decision tree using all the columns except the target one as features, and using a binary class indicating whether the target column has a missing value or not. Visualizing the decision tree obtained after training should show the pattern if there is one.

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  • $\begingroup$ Thank you Erwan, I will try your method and inform you :) $\endgroup$ Jun 17 '19 at 8:23

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