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 ...

The focus of this tutorial is on “associations” between two categorical variables. The scenario we will examine is the following: Are managerial status and gender at the bank related? Naturally, we ...

Generally speaking, there are two types of outcomes (i.e. response) in statistical analysis: continuous and categorical responses. Linear Models (LM) are one of the most commonly used statistical ...

Bar charts are a way to represent categorical data visually, in a horizontal or vertical display. Bars can be single, stacked, or grouped. By looking through the whole chart, it is easy to see the ...

Tabulating the number of objects in categories of interest dates back to the earliest records of commerce and population censuses. So far in this column, we have discussed mainly the statistical ...