Creating a DataFrame

Here we can use any in-built datasets in R (the list of datasets can be viewed using data( ) command) or even create one. Let’s create a data frame and visualize it.

R




# Creating a data frame
  
# variables for columns
game = rep(c('Footsal', 'Slamdunk', 'VolleyBall'), each=50)
level = rep(c('low', 'high'), each=25)
score = runif(150, min=1, max=500)
year = rep(c(1992,1993,1994),each=50)
  
data = data.frame(game, level, score,year)
head(data)


Output:

How to Make Grouped Boxplot with Jittered Data Points in ggplot2 in R

In this article, we will see how to make use of ggplot2 package in R Programming Language to plot grouped boxplots with jittered data points.

Grouped Boxplots help us visualize two or more features/variables in a single plot using the grouping variable in ggplot2. The jittered points are data points that belong to another variable and are plotted on top of the grouped boxplot for a better comparison of the spread of data points of the considered variables. 

Similar Reads

Creating a DataFrame

Here we can use any in-built datasets in R (the list of datasets can be viewed using data( ) command) or even create one. Let’s create a data frame and visualize it....

Plotting Grouped Boxplots

...

Adding Jittered Data Points to the Grouped Boxplot

Here we are going to plot boxplots using geom_boxplot() methods....

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