In this blog post we’ll tackle an aesthetic aspect in R & ggplot2 — namely, displaying your the labels on your axis as millions or thousands. Assume, you have a data set with a column that has numbers ranging into the millions. To emulate this, I loaded the mtcars dataset…
In this blog post, you’ll learn how to add confidence intervals to a line plot in R in the popular ggplot2 visualization package, part of the tidyverse. First, let’s create some random data to work with. For demonstrational purposes, I’ve created two time series from two normally-distributed random variables. These…
2020: the year that every data scientist became a virologist. For the past weeks we’ve been numbed with statistics and plots about the coronavirus. A recurring feature of these plots is that they often have a logarithmic axes. Here’s how to achieve this in R’s ggplot2. Lets’s say you are…
In this blog post I elaborate on anti-aliasing in R. Some feedback I received quite a while is that the plots produced by ggplot2 in R aren’t as pretty as those produced by Microsoft Office, or even Python’s Matplotlib. This feedback is justified, because R doesn’t anti-alias it’s produced plots.…
In the past couple of years, I have been messing around to get weekdays in my ggplot2 charts. However, I discovered a pretty straightforward method to do it properly. All those hours wasted, but no more. I will demonstrate with an example. I use data.table for wrangling, and lubridate for…
Something that took me a while to do properly in ggplot2 is adding the percentage sign as a suffix to your tick labels, controlling decimals and at the same time still being able to set the limits of your axis. I’ll show an example using the iris data set. Let’s…
In this blog post, I elaborate on setting axis limits in a plot, generated by ggplot2. There are two ways: one where you pretend the data outside the limits doesn’t exist (using lims), and one where you respect that the data outside the limits exists (using coord_cartesian). The documentation for…