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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...

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...

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...

The power of a test is the probability of detecting a statistically significant effect when one actually occurs in the population under study.

The Student's t-test group is used to compare two groups of results, measured by the arithmetic mean, against each other.

The chi-square test of independence is one of the most popular statistical tests. It is used to check whether there is a statistically significant relationship between two...

Customer Effort Score (CES), along with Net Promoter Score (NPS), and Customer Satisfaction (CSAT), is one of the key indicators related to clients' satisfaction. All these three...

A scatter plot (also referred to as a scatter graph) is a plot with two perpendicular axes, where two variables are presented.

Column and bar charts have long been some of the most popular ways to visualize data. Before you decide to use any of them, it's worth taking a closer look at them.

Researching customer satisfaction and loyalty is currently an inseparable part of running a business that is focused on developing and building their advantage over competitors....

A waterfall graph, otherwise known as a cascade chart, may mean very little to those of us from outside the financial services industry.