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Chapter 11 - Understandability

from Part III - Challenges in Applying Data Science

Published online by Cambridge University Press:  29 September 2022

Alfred Z. Spector ,
Peter Norvig ,
Chris Wiggins  and
Jeannette M. Wing
Alfred Z. Spector
Affiliation:
Massachusetts Institute of Technology
Peter Norvig
Affiliation:
Stanford University, California
Chris Wiggins
Affiliation:
Columbia University, New York
Jeannette M. Wing
Affiliation:
Columbia University, New York
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Summary

This chapter’s first three sections drill down into the Analysis Rubric’s "understandability” element, focusing on the challenges that occur when applications must explain how a conclusion was reached, show causal relationships, or provide results that can be reproduced by others. Given the immense influence of data science findings, the chapter concludes with a discussion on the great care that is needed to communicate data science findings without being misleading.

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Data Science in Context
Foundations, Challenges, Opportunities
 , pp. 154 - 186
Publisher: Cambridge University Press
Print publication year: 2022

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