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Lecture 3
chris wiggins edited this page Apr 2, 2017
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citation: "The Future of Data Analysis."
ONLY SECTIONS 1-11, 33 , 43-END are required -
Questions:
- stats: math vs science
- role of universities
- world as is vs should be
We will come back to these questions later with Breiman's The Two Cultures and Cleveland's "Data Science", both (2001)
citation: Diaconis, Persi. "Theories of data analysis: from magical thinking through classical statistics." In Exploring Data Tables, Trends and Shapes. Edited by D. Hoaglin, F. Mosteller, and J. Tukey. 1-36. New York: Wiley, 1985. PAGES 1-9 AND 31-END at http://statweb.stanford.edu/~cgates/PERSI/papers/magicalthinking.pdf
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citation: Chambers "Greater or Lesser Statistics" https://statweb.stanford.edu/~jmc4/papers/greater.ps
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Questions:
- what is CS not able to do?
- role of universities
A couple of things to think about as you read these three pieces
- in a historical and philosophy vein, think about how you would do the sort of work that Desrosieres did with the early modern statisticians: what are the different visions of statistical work these authors present? Desrosiers uses controversies to help articulate the stakes of different forms of scientific practice--can you do that here? How do these authors portray those they are arguing against?
- In a more instrumentalist vein, please bring in at least one form of data analysis you've gleaned from these papers you might like to do, or to figure out how to do, in class.
- citation: John W. Tukey-Exploratory Data Analysis-Addison Wesley (1977).pdf
- context: This is Tukey's 1977 textbook written about six years before PCs became widely available. It's VERY long. Just glance through and look at some of the suggestions he has for work to do with pen and paper--and computer, when they become available. Extremely valuable today!