Univariate analysis is referred to be as the easiest way to perform the statistical analysis on the observed data set. The Univariate analysis deals with only one variable. As the name suggests "Uni" which represents "one".

Some information about the Univariate Analysis is as follows:

1) This type of analysis does not deal with finding the relationship as there is only one variable.

2) The main purpose of the univariate analysis is to describe, understands the pattern and summarize the data.

3) The data can be represented in the form of Histogram, Pie charts, Bar Charts etc.

4) The data can be summarized by using measures of dispersion, central tendency etc.

The univariate analysis can be categorized in the two forms, such as the inferential statistics and the descriptive statistics.

Some examples of the univariate analysis are:

a) The analysis of age.

b) The analysis of height.

c) The analysis of monthly income of a family.

Some information about the Univariate Analysis is as follows:

1) This type of analysis does not deal with finding the relationship as there is only one variable.

2) The main purpose of the univariate analysis is to describe, understands the pattern and summarize the data.

3) The data can be represented in the form of Histogram, Pie charts, Bar Charts etc.

4) The data can be summarized by using measures of dispersion, central tendency etc.

The univariate analysis can be categorized in the two forms, such as the inferential statistics and the descriptive statistics.

Some examples of the univariate analysis are:

a) The analysis of age.

b) The analysis of height.

c) The analysis of monthly income of a family.