I have been given a dataframe with 50+ fields. My job is to find the fields
which are dependent and independent of each other. Most of the fields are
categorical variable and have different levels. For example - below table
shows different levels for each field Sex:2, Color:4, Geography:3, ID:8.
Now, how can I do regression/correlation on them ? Clearly, we see that all
Males have Red color and their Geography is North. What analysis I need to
do to get these kind of insights? I tried few things but could not figure
out the right way. 

Idea is to develop a system where few of the fields are automatically filled
based on the information entered in other fields, like if we enter Sex as
Male,Geography is automatically North. Thanks!

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