In preparing categorical variables for analysis, it is usually best to ...Group of answer choicesconvert the categories to binary, dummy variables.convert the categories to string values.let them remain categorical.omit all categorical variables.

Categorical dataGroup of answer choices. are always non-numericare always numericmay be either numeric or non-numericindicate either how much or how many

Suppose we had a data set of from a call center where customers were asked to choose between the following three options: hear account information, billing questions, and customer service. Using the given order of the three options, and using 0-1 dummy variables to encode the categorical variables, which of the following combinations would yield an entry “customer service”?Group of answer choices100000010001

Which of the following is an example of categorical data?Group of answer choicesheight, in meters, of a treenumber of square meters of the lotcolor of the gatescore on a multiple choice exam

Chi-squared can be used to understand the relationship betweenGroup of answer choicesany two variables.one categorical and one continuous variable.two continuous variables.two categorical variables.

Which of the following is a method for handling categorical variables in a supervised learning model?Review LaterOne-hot encodingLabel encodingbinary encodingall the above