<p>I quite regularly visit SE DataScience, SE StackOverflow and SE CrossValidated.</p>

<p>I often have the impression that some question fits best on another SE platform but usually the person is kindly asked to place the question elsewhere.</p>

<p>The term data science per se generates some misunderstanding, but I think we can agree that it has now acquired much more sense. </p>

<p>Looking at the famous McConway diagram, which has now been updated or simply modified by several people, the field is defined according to the interplay of three main sets of skills which are partly related to different SE platforms: coding (SE StackOverflow), math (SE Mathematics) &amp; statistics (SE CrossValidated), subject expertise. </p>

<p>For me a good question on SE DataScience is one related to the availability or best use of routines/packages for doing some task.</p>

<p><a href="https://i.stack.imgur.com/0FZ0z.jpg" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/0FZ0z.jpg" alt="enter image description here"></a></p>
