Univariate v/s Bivariate

While performing the data analysis if we are considering only one variable to gain insights about it then it is known as the univariate data analysis. But if we are trying to gain insights into one variable with respect to some other variable like calculating correlation or covariance between two variables then this is known as data analysis.

Bivariate analysis helps us establish a relationship between two variables which helps us make better decisions so, that we can manipulate one to cause a positive or negative effect on the other based on the relationship between the two variables. Even though we can use multivariate data analysis to analyze and derive relationships between more than two variables these methodologies are considered to come under the domain of machine learning.

Whenever we deal with some piece of data no matter whether it is small or stored in huge databases statistics is the key that helps us to analyze this data and provide insightful points to understand the whole data without going through each of the data pieces in the complete dataset at hand. In this article, we will learn about Descriptive Statistics and how actually we can use it as a tool to explore the data we have.