Explore: Categorical Data Analysis

for the analysis of categorical data, also known as data on the nominal scale and as categorical variables. Bowker's test of symmetry Categorical distribution

considering data analysis, it is common to use the term "categorical data" to apply to data sets that, while containing some categorical variables, may

image processing algorithms Categorical data analysis – Data sets used in the book, An Introduction to Categorical Data Analysis, provided online by UCLA

Ordinal data is a categorical, statistical data type where the variables have natural, ordered categories and the distances between the categories are

the University of Florida. He has written several textbooks on categorical data analysis that are considered seminal in the field. The Agresti–Coull confidence

simply ignored. Modeling continuous data (or categorical data of more than 2 categories) as a binary variable for analysis purposes is called dichotomization

trend, named for William Cochran and Peter Armitage, is used in categorical data analysis when the aim is to assess for the presence of an association between

Categorical theory, in mathematical logic Morley's categoricity theorem, a mathematical theorem in model theory Categorical data analysis Categorical

In probability theory and statistics, a categorical distribution (also called a generalized Bernoulli distribution, multinoulli distribution) is a discrete

Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions