How to visualise a Dataset according to its Class variables in R

Visualizing a dataset according to its class variables in R is a useful way to understand the distribution and relationship between different classes. A class variable is a categorical variable that can take on a limited number of values, also known as factors.

There are several ways to visualize a dataset according to its class variables in R, such as bar charts, stacked bar charts, and box plots.

Bar charts: Bar charts are a simple way to visualize the distribution of a class variable. They show the count or percentage of observations for each class. You can use different colors or patterns to distinguish the different classes.

Stacked bar charts: Stacked bar charts are used to visualize the distribution of multiple class variables. They show the count or percentage of observations for each class, stacked on top of each other. This can help to compare the distribution of different classes.

Box plots: Box plots are used to visualize the distribution of a numerical variable across different classes. They show the median, quartiles, and outliers of the numerical variable for each class. This can help to compare the distribution of the numerical variable across different classes.

Faceted plots: Faceted plots are a useful way to visualize how different class variables affect a numerical variable. They allow you to create different plots for different levels of a class variable.

It’s important to note that the type of visualization used will depend on the type of data and the question you’re trying to answer. Also, it’s important to keep the visualization simple and clear, this will make it easy to understand the insights from the data.

In this Data Science Recipe, you will learn: How to visualise a Dataset according to its Class variables in R.