Dealing with long, overlapping axis labels that make your ggplot2 visualizations unreadable? This comprehensive guide shows you exactly how to wrap axis labels ggplot2 into multiple lines with ready-to-use code examples. Long axis labels are a common problem in data visualization, especially when working with categorical data, survey responses, or detailed variable names. When axis… Continue reading How to wrap long axis tick labels into multiple lines in ggplot2
Category: R
How to Remove Space between Legend at Bottom and x-axis in ggplot2
Goal: This tutorial shows how to control the spacing around the ggplot2 legend—especially when the legend is placed at the bottom—and how to fine-tune multi-row legends. We begin with a reproducible baseline that illustrates the problem, then move through five practical fixes. You’ll learn when to use each parameter (x = NULL, legend.margin, plot.margin, multi-row… Continue reading How to Remove Space between Legend at Bottom and x-axis in ggplot2
How to add percentage label on bars in barplot with ggplot2
Adding percentage labels or count labels to bars in a barplot can help read the barplot quickly. In this tutorial, we will learn how to add labels with percentage symbol on bars in a barplot made with ggplot2 in R. Loading Packages and Dataset Let us get started by loading packages needed and a dataset… Continue reading How to add percentage label on bars in barplot with ggplot2
Grouped Boxplots with reproducible jittered data points
In this post we will learn how to make a grouped boxplots with reproducible jittered points. We can make a grouped boxplot with jittered points using position_jitterdodge() function as position argument to geom_point(). Note that using the handy wrapper function geom_jitter() instead of geom_point() with position_jitterdodge() will not give right plot with jittered data. If… Continue reading Grouped Boxplots with reproducible jittered data points
How to make random jittered points reproducible
In this post we will learn how to make a random jitter plots made with ggplot2 reproducible. We have multiple posts on the importance of showing the actual data points while making boxplots/violinplots. One of the ways to avoid overplotting, is to add random jitters on the x-axis to the data points, so they all… Continue reading How to make random jittered points reproducible