The author concludes that wealthy countries have a lot more data science than the rest of the world (eg., R and the scientific Python stack). Further, platforms common in outsourcing are more common in developing nations (eg., PHP and Android).
I don't see how this blog article contains any scientific rigor by not doing any on-the-ground surveys in all these countries, but instead relies upon analytics from their own platform.
Seeing as how Linux and Bash are 19 & 24 for the higher income nations and not included within the rest of the world list, would you also group sysadmin roles as a wealthier country function?
I have a limited understanding of the two in real-world application.
I think there may be some hysteresis effect going on here. If wealthy countries developed their tech industry sooner, you'd expect them to have a larger installed base of projects written using older technologies.
This effect explains why Java, C and C++ rank higher in high-income countries. It also explains why Android ranks higher in the rest of the world -- I suspect in many places, people are leapfrogging PC's altogether, and a lot of people have a tablet or phone as their sole device.
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[ 3.0 ms ] story [ 20.1 ms ] threadBut I definitely believe there are too many factors within the data for a full understanding. Most likely a case of Correlation != Causation
I have a limited understanding of the two in real-world application.
This effect explains why Java, C and C++ rank higher in high-income countries. It also explains why Android ranks higher in the rest of the world -- I suspect in many places, people are leapfrogging PC's altogether, and a lot of people have a tablet or phone as their sole device.