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! <http://r.789695.n4.nabble.com/file/t386500/Untitled.png> -- Sent from: http://r.789695.n4.nabble.com/datatable-help-f2315188.html _______________________________________________ datatable-help mailing list datatable-help@lists.r-forge.r-project.org https://lists.r-forge.r-project.org/cgi-bin/mailman/listinfo/datatable-help
