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 ...

Variable vs. Attribute Data: Real-World Scenarios. A popular amusement park has roller coasters and rides for children of all ...

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 ...

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 ...

For example, some dependent variables may be categorical, such as pregnant or not, employed or not, etc. Other dependent variables may be truncated or censored, such as contributions to an individual ...

One of the most obvious benefits is the ability to quickly recognize trends, changes, and patterns based on inter-related variables. Categorical data is also useful for ensuring control and ...

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 ...