Making GIFs with Processing

Processing is a flexible software sketchbook and a language for learning how to code within the context of the visual arts. It’s open-source, there are many online materials, and the language itself is very accessible. I recently stumbled upon 17-year-old Joseff Nic from Cardiff who has been making GIFs in Processing only since 2018, but…

Avoid bar plots for continuous data! Do this instead:

Tracey Weissgerber, Natasa Milic, Stacey Winham, and Vesna Garovic wrote this interesting 2015 paper on bar graphs. By a systematic review of physiology research, they demonstrate we need to reconsider how we present continuous data in small samples. Bar and line plots are commonly used to display continuous data. This is problematic, as many different data…

Chatterplots

I’ve mentioned before that I dislike wordclouds (for instance here, or here) and apparently others share that sentiment. In his recent Medium blog, Daniel McNichol goes as far as to refer to the wordcloud as the pie chart of text data! Among others, Daniel calls wordclouds disorienting, one-dimensional, arbitrary and opaque and he mentions their lack of order,…

Add a self-explantory legend to your ggplot2 boxplots

Laura DeCicco found that non-R users keep asking her what her box plots exactly mean or demonstrate. In a recent blog post, she therefore breaks down the calculations into easy-to-follow chunks of code. Even better, she included the source code to make boxplots that come with a very elaborate default legend: As you can see,…

What to consider when choosing colors for data visualization, by DataWrapper.de

Lisa Charlotte Rost of DataWrapper often writes about data visualization and lately she has focused on the (im)proper use of color in visualization. In this recent blog, she gives a bunch of great tips and best practices, some of which I copied below:  You can find additional useful tips in the original DataWrapper blog.