Author : Maëlle Salmon
You might have read my blog post analyzing the social weather of rOpenSci onboarding, based on a text analysis of GitHub issues. I extracted text out of Markdown-formatted threads with regular expressions. I basically hammered away at the issues using tools I was familiar with until it worked! Now I know there’s a much better and cleaner way, that I’ll present in this note. Read on if you want to extract insights about text, code, links, etc. from R Markdown reports, Hugo website sources, GitHub issues… without writing messy and smelly code!
Read the full post here: https://ropensci.org/technotes/2018/09/05/commonmark/