Let's say I have a giant dataset (600+ columns) and I have no idea what insights I might get from it or what model I want to run.
What are some of the best ways to find the most influential columns/features? I know it's important to know what models to run first, but is there a general way to find columns that's more important than others?
So far I've already removed the columns that are 80%+ empty, but I still have over 600 columns and I have no idea where to start. Please let me know your thoughts! I'm kind of new so any pointers will help.