Tal Galili’s R-bloggers.com has been syndicating blog posts about R for quite a while — from memory I’d say about 8 years, but I couldn’t find the exact date it started aggregating. Anyway, it contains a wealth of information about activity in the R ecosystem, but without any easy way to access that information other than the blog post feed. Bob Rudis figured it out though — by using the Feedly API and the RSS feeds of R-bloggers, you can extract quite a bit of data about the posts of the 750+ bloggers syndicated on the site. Among the insights:
- Since 2014, there have been more than 160 posts per month (and up to as many as 250 in one month) aggregated on R-bloggers
- Most posts appear on Mondays and Tuesdays. Sunday is the quietest day for R bloggers.
- More than 1,000 authors have been published on the site.
- And (with more than a modicum of personal pride here), the top 10 authors on the site, measured by total engagement, are:
You can find more analysis, including charts and the detailed R code used to produce them and a link to the extracted data file, in Bob Rudis’s blog post at the link below:
R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more…