data analysis

The three-sigma rule is an important tool in statistics and quality management. In the context of data analysis, it allows the identification of outlier points that are...

Segmentation is a key process in data analysis, dividing a data set into relatively homogeneous groups based on specific criteria. The purpose of segmentation is to identify...

Can one abnormal occurrence cause concern? Based on one deviation from the norm, should a red light start flashing? Of course! In many industries and businesses, an anomaly is a...

Statistical inference is the branch of statistics through which it becomes possible to describe, analyse and make inferences about the whole population on the basis of a sample.

In data analysis, it is important to identify unusual observations that are significantly different from the others. Such values, called outliers or outlier cases, can affect the...

The level of measurement is one of the most important properties of variables. It determines which statistical tests will be available to the researcher during the course of the...

Popular statistical tests include Pearson's chi-square tests. It is worth noting at the outset that this test has more than one application. In this material, I will discuss the...

Entropy is a measure of disorder or uncertainty in a probability distribution.

The Gini index is a measure of the concentration of a variable's distribution.

Regression is used to predict the value of the dependent (predicted) variable on the basis of the value of the independent variable or variables (predictors).

Neural networks are a family of algorithms that are becoming increasingly popular for tasks in the areas of prediction, classification, and clustering.