This year I had the chance to speak at two R-Ladies meetups (I might have invited myself to those meetups to make the most of being in town, create your own happiness!), one in Cape Town in March, one in Seattle in May. It was a blast both times! I gave the same talk twice, and decided it was about time to write it up.
My talk in March was aimed at pairing, well tripleting, with Marie Dussault’s talk about setting up your blogdown website, and Stephanie Kovalchik’s talk about sports blogging so it is not about these topics. What it is is my non data-driven, quite personal view on blog content and promotion, which hopefully features some useful tips for any wannabe R blogger!
It’s the second time I write a post about the blog aggregator R-bloggers, probably because I’m all about R blogs now that I have one. My husband says my posts are so meta. My first post was about R blogs names, in this one I shall focus on the last 1,000 tweets from R-bloggers.
In this post, I’m sharing a brand-new analysis! The reason for this is my blog being added to R-bloggers by Tal Galili after I filled this form. R-bloggers is a collection of blogs about R, whose new posts get added to the website via the magic of RSS feeds. R-bloggers even has a Twitter account. As a reader of R-bloggers you get exposed to many different analyses and ideas, as a R-blogger you reach a wider audience, so really it’s an useful website. Tal does a great job maintaining R-bloggers and understandably likes seeing R-bloggers mentioning the website on their blog, which I already do in the About section, and in one article, which I’ve consistently failed to do in the last two posts because I got too caught up about the article at hand to think about anything else. So I’ve figured out the best way not to forget to thank Tal for his work was to do an analysis about R-bloggers! Genius, I know. I’ve scraped the full list of contributing blogs and had a look at their names and addresses.