How to create bar chart in R

A bar chart, also known as a bar plot, is a graphical representation of a dataset that shows the frequency or the relative frequency of different values. It is a useful tool for visualizing the distribution of a dataset, comparing different groups of data, and identifying patterns. In this blog post, we will discuss how to create bar charts in R.

The most basic way to create a bar chart in R is by using the barplot() function. This function takes a single vector of data as an argument and creates a bar chart of the data. The function also takes several other arguments that can be used to customize the appearance of the plot, such as the color of the bars and the main title.

Another way to create a bar chart in R is by using the ggplot2 package. This package provides a powerful and flexible way to create bar charts and other types of plots. To create a bar chart using ggplot2, you first need to create a ggplot() object and then add a geom_bar() layer to the object. The geom_bar() layer takes several arguments that can be used to customize the appearance of the plot, such as the color of the bars, the width of the bars, and the main title.

In addition to the above methods, you can also create bar charts using other packages like lattice and plotly which provide more advanced functionalities.

To create a bar chart in R, you need to provide the data in the form of a vector or a data frame. You can then use the barplot() function or the ggplot2 package to create the bar chart and customize the appearance using various arguments.

In this Applied Machine Learning Recipe, you will learn: How to create bar chart in R.