As a programmer, you’re well aware of the importance of data visualization. A well-crafted plot can convey complex information with clarity and impact. In R, creating stunning plots is a breeze, especially when you’re armed with the versatile
text()function. This little gem allows you to add custom text to your plots, enabling you to annotate and highlight essential details. Let’s dive into the world of
text()and uncover its syntax and potential through some hands-on examples.
I’m also a big fan of
geom_text_repel() in ggplot2’s ggrepel library. It is by no means perfect but it does do a good job of not overlapping important visual features like plotted lines.