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Spatiotemporal Data Analysis$
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Gidon Eshel

Print publication date: 2011

Print ISBN-13: 9780691128917

Published to Princeton Scholarship Online: October 2017

DOI: 10.23943/princeton/9780691128917.001.0001

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The Gray World of Practical Data Analysis: An Introduction to Part 2

The Gray World of Practical Data Analysis: An Introduction to Part 2

(p.95) Six The Gray World of Practical Data Analysis: An Introduction to Part 2
Spatiotemporal Data Analysis

Gidon Eshel

Princeton University Press

This chapter provides an overview of the second part of the book. This part is the crux of the matter: how to analyze actual data. While this part builds on Part 1, especially on linear algebra fundamentals covered in Part 1, the two are not redundant. The main distinguishing characteristic of Part 2 is its nuanced grayness. In the ideal world of algebra (and thus in most of part 1), things are black or white: two vectors are either mutually orthogonal or not, real numbers are either zero or not, a vector either solves a linear system or does not. By contrast, realistic data analysis, the province of Part 2, is always gray, always involves subjective decisions.

Keywords:   data analysis, linear algebra, subjective decisions

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