There was another disagreement/discussion about how people should learn and teach R this week. It was centered around the Tidyverse (surprise), which in case you’re unfamiliar “is an opinionated collection of R packages designed for data science. All packages share an underlying design philosophy, grammar, and data structures.”
Some people love the Tidyverse. Others are less fond of it.
For me, the more tools the better.
To access this issue of The Process, you must be a member. (If you are already a member, log in here.)
The Process is a weekly newsletter on how visualization tools, rules, and guidelines work in practice. I publish every Thursday. Get it in your inbox or read it on FlowingData.
You also gain unlimited access to hundreds of hours worth of step-by-step visualization courses and tutorials, which will help you make sense of data for insight and presentation. Resources include source code and datasets so that you can more easily apply what you learn in your own work.
Your support keeps the rest of FlowingData open and assures the data keeps flowing freely.
