Z: Why vis?

Publication: H. Wickham et al. [2010]: Graphical Inference for Infovis doi:10.1109/TVCG.2010.161

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Title Graphical Inference for Infovis
Authors
  1. Wickham, Hadley
  2. Cook, Dianne
  3. Hofmann, Heike
  4. Buja, Andreas
Year 2010
DOI 10.1109/TVCG.2010.161
ISBN ---
@article{Wickham2010a,
 title = {Graphical Inference for Infovis},
 author = {Wickham, Hadley and Cook, Dianne and Hofmann, Heike and Buja, Andreas},
 year = {2010},
 doi = {10.1109/TVCG.2010.161},
 journal = {Trans. Visualization and Computer Graphics},
 number = {6},
 pages = {973--979},
 volume = {16}
}

Last updated 11 months ago (Nov. 18, 2020) by Streeb, Dirk

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Visualizations show visual patterns (+-) Ambivalent Basically all of the publication p. 973 «It allows us to uncover new findings, while controlling for apophenia, the innate human ability to see pattern in noise.» Streeb, Dirk: March 10, 2018
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Streeb, Dirk March 10, 2018 June 6, 2018 1 0 1 "Infovis provides tools to uncover new relationships, tools of curiosity, and much research in infovis focuses on making the chance of finding relationships as high as possible. On the other hand, most statistical methods provide tools to check whether a relationship really exists: they are tools of skepticism. Most statistics research focuses on making sure to minimize the chance of finding a relationship that does not exist. Neither extreme is good: unfettered curiosity results in findings that disappear when others attempt to verify them, while rampant skepticism prevents anything new from being discovered." [p. 973] which is clearly a trade-off Overall a technique paper.
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