Handle Missing values first and then do Variable analysis or vice versa?


I have a dataset of about 30 columns of which 10 columns have missing values in it. I just need help in knowing whether I should focus on cleaning the data first and then do some analysis on the data or can perform some univariate, bivariate analysis on the data and then treat the missing values. What is the best practice?

Any suggestions here would be highly appreciated.


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