Categorical
A categorical variable is a type of data that is represented by a list of values. These values can be either numbers or text, and they are usually organized into categories.
Categorical Variable
A categorical variable is a data type that represents qualitative information. For example, colors (red, blue, green), genders (male, female), and religions (Catholic, Protestant, Muslim) are all categorical…
Business Intelligence (BI)
Business Intelligence (BI) is the process of gathering, organizing, and analyzing data to help business leaders make better decisions. BI can include everything from analyzing sales data to tracking customer…
Boxplot
A boxplot is a graphical representation of the five-number summary of a dataset. The five-number summary includes the minimum, first quartile, median, third quartile, and maximum of a dataset…
Bootstrap
Bootstrap is a technique for estimating the parameters of a statistical model from a limited number of observations. It is a resampling technique that is used to build confidence intervals or to generate…
Boosting
Boosting is a machine learning technique for improving the accuracy of predictions. It is a type of ensemble learning, which combines the predictions of several individual models in order to produce a…
Bivariate Analysis
Bivariate Analysis is the examination of two sets of data, typically in order to identify any correlations between them. This can be used to inform further analysis, or to gain a better understanding of the data…
Big Data
Big Data is a term used to describe the large volume of data that organizations collect and store. The term was first coined in 2001 by Doug Laney, an analyst at Gartner, and it was originally used…
Bayesian Inference
Bayesian Inference is a statistical method of using prior knowledge and data to generate probabilities about future events.
Bagging
Bagging is a technique for improving the accuracy of predictions made by a machine learning algorithm. It works by training multiple models on different subsets of the data, and then combining…