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SSPA Blog: Things I Learned on my Way to Looking up Other Things

  

I'm 100% stealing this post's title from the late Sydney J. Harris, a columnist for the Chicago Sun-Times. His Friday column typically held this title; man, he would have loved the Internet!

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So I’m thinking about statistical programming and associated job opportunities because I recently heard of yet another company divesting itself of its statistical programmers (moving them to a third party).

 

And my thinking leads me to a question: what does the world think about statistical programming? What the world thinks, I decide, may be associated with what Google “finds” – so I run a quick search.

 

Minutes later, I’m on the Wikipedia page for “statistical programming languages” and I find there’s much out there that I know little (or nothing) about – but not as much as I would have thought. There are only 16 entries; along with the usual suspects like SAS and R, there are other languages which are new to me.

 

It turns out that this page is a subset of a parent domain called “statistical software” – and it’s a sibling of a page holding “data analysis software.” And those pages are much broader in scope than my original anchor of “statistical programming languages.”

 

What have I learned from this exploration?

 

One thing is that I believe Wikipedia could be better organized with respect to this stuff – so who can I blame? J

 

Within Wikipedia, there is no entry for “statistical programmer.” Perhaps it’s a good time to add one, and perhaps we are just the people who can do this.

 

Anyone up for that challenge?

I'm tagging this activity to myself, as a "to do." If you happen to be browsing Wikipedia some day, and you see such an entry - of course, you'll have the power to update it as you like!

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03-25-2011 15:44

Michael,
This work needs to be done. I would have some time to organize a plan and upload data with you or with others. Statistical Programmer needs definition for accurate use in the business world. The more we help other fields understand how our methods help them - the better for the field academically and for business.