data preparation

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...

The area of reliability analysis is of interest first of all to those who plan to use scales and indices in their studies, namely more complex indicators than a single survey...

Sometimes instead of asking a single question in a survey, we ask a whole set of questions, which are intended to be used later to build a scale.

Both business and science undertake research to survive and thrive. It is invariably a complex process that requires not only knowledge but also experience.

The Automatic linear modeling procedure is intended to streamline the work of analysts who use regression models.