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Categorical vs. Continuous Data: What’s the Difference?

Data analysis is a fundamental process in any project. However, data can be lumped into different types, with categorical and ...
CU Boulder News & Events

Generalized Linear Models and Categorical Data Analysis in R

Ordinary linear regression (OLR) assumes that response variables are continuous. Generalized Linear Models (GLMs) provide an extension to OLR since response variables can be continuous or discrete ...
Visual Studio Magazine

Clustering Mixed Categorical and Numeric Data Using k-Means with C#

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on a "very tricky" machine learning technique. Data clustering is the process of grouping data items together so ...
Simon Fraser University

Analysis of Variance for Categorical Data and Generalized Linear Models

A categorical variable is defined as one that can assume only a limited number of values. For example, a person's sex is a categorical variable that can assume one of two values. Variables with levels ...