Adding Notches to Box Plots in R Last Updated : 23 Jul, 2025 Comments Improve Suggest changes Like Article Like Report In this article, we will study how to add a notch to box plot in R Programming Language. The ggvis package in R is used to provide the data visualization. It is used to create visual interactive graphics tools for data plotting and representation. The package can be installed into the working space using the following command : install.packages("ggvis") The ggvis method in the ggvis package is used to start ggvis graphical window. Syntax: ggvis( data , mp1, mp2.,) Arguments : data - The dataset to plotmp1, mp2,.. - The map variables to plot The ggplot() method is used to take as input an R object to plot the data points. It also takes the aesthetic mappings into consideration. The x and y coordinates can be plotted in the aesthetic mappings. Syntax: ggplot (data-frame-obj , aes = ) Arguments : data-frame-obj - The data frame objectaes - The aesthetic mappings to be specified The geom_boxplot() method is used to construct a box plot in R. By default, the value of the notch parameter is "FALSE". R # installing the required libraries library("ggvis") # creating a data frame data_frame <- data.frame(col1 = c("a","b","a", "a","b"), col2 = c(1:5)) print("Data Frame") print(data_frame) # PLOTTING WITHOUT NOTCH ggplot(data_frame, aes(x = col1, y = col2)) + geom_boxplot() Output [1] "Data Frame" col1 col2 1 a 1 2 b 2 3 a 3 4 a 4 5 b 5 In order to add notch to the boxplot we can set the notch parameter to TRUE. It then adds notches to the boxplot. R # installing the required libraries library("ggvis") # creating a data frame data_frame <- data.frame(col1 = c("a","b","a", "a","b"), col2 = c(1:5)) print("Data Frame") print(data_frame) # plotting with notch ggplot(data_frame, aes(x = col1, y = col2)) + geom_boxplot(notch = TRUE) Output [1] "Data Frame" col1 col2 1 a 1 2 b 2 3 a 3 4 a 4 5 b 5 Comment More infoAdvertise with us Next Article Adding Titles to Seaborn Boxplots Y yippeee25 Follow Improve Article Tags : R Language R-plots R-Charts R-Graphs R-Packages +1 More Similar Reads Add Legend to Plot in R Legends are useful to add more information to the plots and enhance the user readability. It involves the creation of titles, indexes, placement of plot boxes in order to create a better understanding of the graphs plotted. The in-built R function legend() can be used to add legend to plot. Syntax: 4 min read Add Panel Border to ggplot2 Plot in R In this article, we will use theme() function to add panel border to the plot in R Programming Language. Here we will create a scatter plot, but you can apply it to any plot and add a Panel Border to that one. Approach:Specify the data object, and it has to be a dataframe. Here it has two variable n 3 min read How to Overlay Plots in R? In this article, we will discuss how to overlay plots in the R Programming Language. Overlaying is a technique that is used to draw multiple plots on a single frame. To draw multiple plots in the R Language, we draw a basic plot and add an overlay line plot or scatter plot by using the lines() and t 3 min read Adding Legend to Boxplot with Multiple Plots Boxplots are an effective way to visualize the distribution of a dataset. When analyzing multiple datasets simultaneously, it can become challenging to differentiate between them without a clear legend. This article will guide you through the process of adding a legend to a Matplotlib boxplot with m 4 min read Adding Titles to Seaborn Boxplots Seaborn is a powerful Python library for data visualization that makes it easy to create aesthetically pleasing and informative plots. Boxplots are a popular type of plot for visualizing the distribution of a dataset. Adding a title to a Seaborn boxplot can help provide context and enhance the inter 4 min read Add elements to existing plotly plot in R Plotly is a powerful library in R for creating interactive, web-based visualizations. It allows users to transform static plots into dynamic and interactive graphics, making data exploration more engaging and insightful. This article will guide you through the process of adding elements to existing 3 min read Like