Maëlle's R blog

As 2018 nears its end, it’s time for me to look back on my R/Twitter year with the same simple method as last year: let me identify and webshoot my 9 best tweets of 2018!

You might have heard of the Advent of Code, a 25-day challenge involving a programming puzzle a day, to be solved with the language of your choice. I’ve noted the popularity of this activity in my Twitter timeline but also in my GitHub timeline where I’ve seen the creation of a few advent-of-code or so repositories.

AoC is largely an exercise in figuring how to write your favourite language as if were C or C++ 😁, which can be fun ... in moderation

— Jenny Bryan (@JennyBryan) December 12, 2018

If I were to participate one year, I’d probably use R. Jenny Bryan’s tweet above inspired me to try and gauge the popularity of languages used in the Advent of Code. To do that, in this post, I shall use the search endpoint of GitHub V3 API to identify Advent of Code 2018 repos.

rOpenSci post-doc hacker Jeroen Ooms has just released a cool new package, av, that he wrote “will become the video counterpart of the magick package which [rOpenSci uses] for working with images.". av provides bindings to the FFmepg libraries for editing videos. It’s already become a renderer for gganimate by Thomas Lin Pedersen, but av allows more than making videos of graphics. In this post, I’ll show how to use av and webshot to make a trailer/sneak preview of a slidedeck, i.e. a short video featuring the first few slides on music!

It’s October, time for spooky Twitter names! If you’re on this social media platform, you might have noticed some of your friends switching their names to something spooky and punny. Last year I was “Maelstrom Salmon”, which I find scary but is arguably not that funny. Anyhow, what if you want to switch your name but have no inspiration? In this post, we shall explore R’s abilities to help us with that with the help of webscraping, phonetic spelling and string distance algorithms, and the magic of randomness!

What can a kaka, a kakapo, an European rabbit and a grey heron have in common? Well, they might co-habit in the bookshelf of an R user, since they’re all animals on the covers of popular R books: “R Packages”, “R for Data Science”, “Text mining with R” and “Efficient R programming”, respectively. Their publisher, O’Reilly, has now based its brand on covers featuring beautiful gravures of animals.

Recently, while wondering what the name of R for Data Science bird was again (I thought it was a kea!), I was thrilled to find the whole O’Reilly menagerie, i.e. a list of books and corresponding animals! The website also features a link to “A short history of the O’Reilly animals” that was an amazing read. In it was noted that “The animals are in trouble.”, with a few examples of endangered species. It inspired me to actually try and assess the conservation status of O’Reilly animals using responsible webscraping, taxonomic name resolving and IUCN Redlist API querying…