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Exploratory Analysis and Its Malcontents

Jeffrey Heer. Harvard Data Science Review, 2021
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Abstract
Over a half-century ago, Tukey and Wilk (1966) launched a rhetorical broadside against purely formal approaches to data analysis. In the intervening decades, software support for statistical modeling and exploratory visualization has made great strides. Despite these advances - or perhaps because of them - we also find ourselves in the midst of a reckoning on issues of analytic transparency, reliability, and replication. Might the time be right for rapprochement?
BibTeX
@article{2021-eda-malcontents,
  title = {Exploratory Analysis and Its Malcontents},
  author = {Heer, Jeffrey},
  journal = {Harvard Data Science Review},
  year = {2021},
  volume = {3},
  number = {3},
  url = {https://idl.uw.edu/papers/eda-malcontents},
  doi = {10.1162/99608f92.3b3cf5be}
}