Univariate Analysis in R
Univariate analysis in R
In statistics, there are three different types of strategies for univariate data analysis. There are three types of analysis: univariate, bivariate, and multivariate.
The term “univariate analysis” refers to a single-variable analysis. Because the prefix “uni” indicates “one,” you’ll remember this.
Univariate analysis is a fundamental statistical data analysis technique. The data comprises only one variable and does not have to deal with a cause-and-effect relationship.
Univariate analysis on a single variable can be done in three ways:
1. Summary statistics -Determines the value’s center and spread.
2. Frequency table -This shows how frequently various values occur.
3. Charts -A visual representation of the distribution of values.
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