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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 continuous data seeming almost opposed at first glance. That said, ...
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 ...
JSTOR Daily

Multiple imputation of unordered categorical missing data: A comparison of the multivariate normal imputation and multiple imputation by chained equations

Missing data are common in survey data sets. Enrolled subjects do not often have data recorded for all variables of interest. The inappropriate handling of them may negatively affect the inferences ...
JSTOR Daily

On categorical variables and non-parametric statistical inference in the pursuit of causal explanations

This is a preview. Log in through your library . Abstract This paper proposes a pragmatic alliance between critical realism and non-parametric statistical techniques in pursuit of causal explanations ...
technologynetworks

The Fisher’s Exact Test

What is Fisher's exact test? Fisher’s exact test is a statistical hypothesis test used to assess the association between two binary variables in a contingency table and is particularly useful when ...