How to handle missing data

Dear all, I have a set of data containing N/A data. Is it possible to use regression model to find out or estimate the missing value?

Imputing missing values is non-trivial, here is a number of google hits on the issue, try one or more and then return here with any questions you may have :slightly_smiling_face:

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I included some resources in an similar thread here:

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But... Please please remember, that when you're imputing missing data, you are enforcing existing structure in data, which can lead to misconclusions, e.g. with unsupervised clustering

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Bro that's my next step, I would like to compare the structure before and after imputing missing data, including clustering. However I can't upload my dataset here, would like to seek any advice.

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