The focus of this tutorial is on “associations” between two categorical variables ... By default, prop.table calulates the relative frequency of each cell. For example, there are 130 employees who are ...

Dealing with categorical data is an essential part of data preprocessing in many machine learning tasks. Fortunately, encoding categorical data efficiently helps enhance the performance of machine ...

Histograms plot quantitative data with ranges of the data grouped into bins or intervals while bar charts plot categorical data. This post expands on these differences and mentions several other ...

Generalized Linear Models (GLMs) provide an extension to OLR since response variables can be continuous or discrete (e.g. binary or frequency). What are GLMs? When should we use them? How GLM works.

One of the most common methods of depicting categorical data is the humble frequency distribution. You’ve likely seen these ...