I have a dataset of about 50K samples. I have approximately 90 columns which are all categorical and they're used to predict a price. There's no other continuous value. I'm trying to select "which of those columns" have a greater impact on the final response variable. Here's an example:
Suppose we're trying to estimate salaries of developers. The variables we have are:
- Main Language:
- IDE Used:
- Years of experience:
How can you "measure" the impact of these variables on the final salary? How can you decide which variables to use for your regression and which ones to leave aside because they're not "relevant" to the final dependent variable?