For practical or business purposes, this is a nice bit of incomplete information to help make a decision. I want to take a serious, time-invested dive into a new statically compiled language, but which one should I pick? An old die-hard or the new-hotness? I could make a guess from reading the docs and such, but I'd also want to know community activity and support. This is a handy chart for getting a sense of that.
Or, I'm a business owner who just hired my first engineer. He's saying the backend should definitely be built in Groovy, or maybe he'd be willing to do Scala or something else, but definitely Groovy, yeah, Groovy man. I might be able to get a better idea of which would be beneficial for my long-term business prospects (hiring more engineers, etc) by checking out a chart like this as I might not have time to do real in-depth research.
As a scientist you require complete, sound and accurate statistical data. As a business practice (this site is about start-ups, no?) you need to be comfortable making serious and important decisions based off of incomplete and possibly inaccurate information because making fast decisions is often paramount. You can and will always make other fast decisions later and decide whether it's worth the effort to course-correct if you need to due to new and more accurate information.
This is maybe too deep an analysis of a fun little infographic, but as a former professional poker player who made a living off of incomplete information you got my cockles up.