In this beginner’s guide, we dive into the different techniques for encoding categorical data, supported by visuals and practical code examples. Categorical data refers to variables that contain ...

Categorical data is more often used when quantitative measurements are impossible or impractical. One example is asking ...

How GLM works. Categorical data analysis, including contingency table analysis, measures of association, tests of independence, tests of symmetry. How to use R to fit GLMs using real data. Below are ...

This is categorical data without any inherent order. Examples include blood group, gender, ethnicity, and smoking status. This is categorical data with a clear order or rank. Examples include single ...

The figures below show an example of a histogram and a bar chart ... grouped into bins or intervals while bar charts plot categorical data. This post expands on these differences and mentions ...

An important subset of categorical data is binary ... of numbers which lacks mathematical precision. Other examples of ordinal data include stages of disease and Likert scales.

An example of independent categorical data is a predictor variable community, which can take values "suburban," "rural" or "city." For such data I recommend using what's often called 1-of-(C-1) ...

Naive approaches for encoding categorical data don't work well for clustering. For example, the State variable in the demo data has four possible values: Arkansas, Colorado, Delaware, Illinois. If you ...

A powerful example of this phenomenon is categorical ... This method is well-suited for exploring categorical data organization because it extracts a clustering of the data that minimizes ...

For example, a person's sex is a categorical variable that ... See Chapter 5, "Introduction to Categorical Data Analysis Procedures," and Chapter 22, "The CATMOD Procedure," for more information.