Categorical variables may have more than two values, which may have an implicit order, such as whether a patient never, occasionally or frequently smokes.

I've recoded a categorical variable, but the list of category codes I see when I press Categories has not been updated. When you recode a categorical variable, the category code information is not ...

What is the chi-squared test? The chi-squared test, often written as χ 2 test, is a statistical hypothesis test used in the analysis of categorical variables to determine whether observed data are ...

Key Points Discrete data is categorical data, rather than continuous measurements. It can be treated as continuous data, but ...

You can create several types of charts with categorical variables. Open your Excel worksheet and highlight the cells that contain your word and number variables.

We introduce the idea of a massively categorical variable, a variable such as zip code that takes on too many values to be treated in the standard manner, and show how to use it directly as ...

Because the encoding for categorical variables results in all encoded values being between 0.0 and 1.0, it makes sense that normalized numeric values should be in that same range. The easiest way to ...

The Cleveland dot plot lists the variable as a continuous one rather than a categorical variable just like a bar chart. But, unlike a bar chart, which uses length to relay position, Cleveland dot ...

The two variables we are interested in (managerial status and gender) are categorical. We already have a text-based gender variable in the Bank data set. We can map the ordinal variable JobGrade to a ...

Chi-square is useful for analyzing such differences in categorical variables, especially those nominal in nature. χ 2 depends on the size of the difference between actual and observed values, the ...