What is Qplot in R?

The Qplot() is a function that is present in the ggplot2 package. The Qplot is an acronym for Quick Plot as the name suggests this was introduced to quickly plot any type of graph without much relying on and remembering the specified functions of each of them. The functionality of this Qplot is very similar to the plot() function which is present in the R Base Package. It’s mostly used to plot simple graphs than complex graphs because it uses a consistent calling technique for all graphs.

Syntax of  Qplot function in R

Syntax : qplot(data,x,y,facets,geom,main,xlab,ylab,asp)

where,

• data: the data frame needs to be plotted
• x,y: used to specify aesthetics into each layer of the graph
• geom: used to specify the geometric figures to draw. [ If x and Y are specified then Scatterplot, If only X is specified then “Histogram” “boxplot” to plot box plot, “violin” to plot violin plot etc,.]
• main: to append title to the plot
• xlab,ylab: used to append labels to the x and y-axis to the plot.
• shape – used to define the shape of objects based on categorical attribute
• colour – used to color the data points by considering an categorical attribute
• size – used to specify the size of data point(s)

Importing Iris Dataset of R Programming

Before moving ahead, let’s import the dataset and the ggplot2 package. In this article, we are going to use the default dataset which is present in R (iris).

Here, we will look working of Qplot in R Programming using Qplot function. The basic plot() function from the R base package and the function Qplot are extremely similar. It can be used to quickly construct and combine several plot kinds. It is still less customizable than the function ggplot(). Let’s see the implementation of it.