why do we use multiple regression instead of categorical variable what technique to use when dealing with big data what is a good technique to use on data with many categorical variables what is the best technique to use with large data? why do we use a decision tree instead of a logit regression how many possible variables is a decision tree what are the main difficulties of using a decision tree and a logit regression? which variable is the most categorical variable? what type of data is used to analyze behavior how many categorical variables in logit multiple regression which technique can you apply with big data different methods of data modelling how many categorical variables does it take to make decisions how to figure out what is the difference between multiple regression and categorical data why would a multiple regression be used for such large amounts of data what is categorical variables what to use when you have too many categorical variables how many categorical variables can be used in a multiple regression model? what is the best way of dealing with data with a lot of variables why use categorical variables for data analysis