Recently I had to use the R test framework called ‌testthat. I noticed that this framework is very human oriented. Its name comes from the way to write tests that aims to make a readable sentence.

After my recent article on marking deprecated code in R, I had the same problem on R data package. Unfortunately I was not able to find a convenient out-of-the-box solution, see this question on SO.

So after a first draft, I’ve applied a process that seems to be a reasonable–good enough–solution.

By using the same fun analysis as in my previous article, I would like too highlight a problem that often occurs, dealing with too much categories (or factors as they are called in R) avoid to see clearly the big pictures.

When working with data it’s very important to be aware of the unit of each variable. To make it explicit it’s convenient to use the package called units.

In the frame of the Hackaviz2020 organized by the ToulouseDataViz, I had to work on displaying weekends on a plot. And, this is not so easy for a novice …

I was wondering the effect of merging layers (squashing) on the size of an image. Now Docker provides an experimental --squash option for the build.