On Stack Overflow, a question gets asked once, answered, and then becomes a central point of knowledge for thousands of others who read it on our site. But what about developers who don’t have the luxury of being public about their work?

This week, my fellow Stack Overflow data scientist David Robinson and I are happy to announce the publication of our book Text Mining with R with O’Reilly. We are so excited to see this project out in the world, and so relieved to finally be finished with it! Text data is being generated all the time around us, in healthcare, finance, tech, and beyond; text mining allows us to transform that unstructured text data into real insight that can increase understanding and inform decision-making. In our book, we demonstrate how using tidy data principles can make text mining easier and more effective. Let’s mark this happy occasion with an exploration of Stack Overflow text data, and show how natural language processing techniques we cover in our book can be applied to real-world data to gain insight.

Because we believe all traffic on the web should be treated equally, Stack Overflow will join some of your other favorite sites from around the web including Netflix, GitHub, Reddit, and Amazon on July 12 for a day of action supporting net neutrality.

If you go anywhere on stackoverflow.com today, you’ll notice a brand new footer, new About pages, and possibly a few other surprises we’re still testing out (not everyone will see these yet).

Starting today, you can download the raw data from Stack Overflow’s 2017 Developer Survey, which received more than 64,000 responses from developers around the world. (The data file includes the 51,392 responses we considered to be sufficiently complete for publication.) You can download previous years’ results as well, from 2011 to 2016.