Category: Visualization

Steven Sanderson draws a curve:

In the vast world of R programming, there are numerous functions that provide powerful capabilities for data visualization and analysis. One such function that often goes under appreciated is the curve() function. This neat little function allows us to plot mathematical functions and explore their behavior. In this blog post, we will dive into the syntax of the curve() function, provide a couple of examples to demonstrate its usage, and encourage readers to try it on their own.

Click through for several examples.

Steven Sanderson switches up a visual:

When it comes to data visualization in R, the par() function is an indispensable tool that often goes overlooked. This function allows you to control various graphical parameters, unleashing a world of customization possibilities for your plots. In this blog post, we’ll demystify the par() function, break down its syntax, and provide you with hands-on examples to help you create stunning visualizations.

Click through to check it out. My loyalties definitely lie with ggplot2 for static visual development in R but it’s definitely not the only way to get images to look the way you want them.

Steven Sanderson texts up a plot:

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.