Data Science: Converging to Confusion

September 30, 2015

I read “Two Great Visualizations about Data Science.” There is not too much reading involved. The article provides images of two graphics.  The more interesting is “another nice picture about the history of big data and data science.”

image

Note that in the 2010 column, the separate lines of “technology” have converged into what looks to me like a fur ball.

The diagram captures several important ideas.

First, note that Bayes and Bayesian methods have some continuity. Other numerical approaches are important, but that Bayes has created the equivalent of Gorilla Glue.

Second, progress, particularly after 1990, seems to point to visualization. This is, for me, similar to judges awarding a cake with nice looking icing a blue ribbon without tasting the baker’s confection. Appearances are more important than substance.

Third, the end point of the diagram is a circular image which looks like a 1950s atomic diagram from the old Atomic Energy Forum. I think the image looks like a darned confusing diagram.

I think data science and Big Data are more confusing than they were in 2010. The eccentric orbits are becoming more distorted.

Stephen E Arnold, September 30, 2015

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