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Mere numbers aren't enough: A plea for Visialization

Runeson, Per LU orcid (2016) p.303-309
Abstract
Quantitative data comes with enormous possibilities for presenting key characteristics of the data in a very compressed form. Basic descriptive statistics, like mean and standard deviation, comprise thousands or millions of data points into single numbers. In contrast, qualitative data, with its focus on descriptions, words, and phrases does not come with such powerful tools, leading to wordy descriptions of the analysis. However, mean and standard deviation do not bring the full understanding of the underlying phenomenon. Thus, we need visualization, or visual analytics, which combine the exactness and compactness of quantitative data with the richness and communication of qualitative communication.
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
Perspectives on Data Science for Software Engineering
editor
Menzies, Tim ; Williams, Laurie and Zimmermann, Thomas
pages
303 - 309
publisher
Elsevier
external identifiers
  • scopus:85133925984
ISBN
9780128042069
9780128042618
DOI
10.1016/B978-0-12-804206-9.00055-6
language
English
LU publication?
yes
id
befbf3c7-f25f-47dc-a5cd-468378161f3a
date added to LUP
2016-10-28 14:14:40
date last changed
2025-01-11 14:16:21
@inbook{befbf3c7-f25f-47dc-a5cd-468378161f3a,
  abstract     = {{Quantitative data comes with enormous possibilities for presenting key characteristics of the data in a very compressed form. Basic descriptive statistics, like mean and standard deviation, comprise thousands or millions of data points into single numbers. In contrast, qualitative data, with its focus on descriptions, words, and phrases does not come with such powerful tools, leading to wordy descriptions of the analysis. However, mean and standard deviation do not bring the full understanding of the underlying phenomenon. Thus, we need visualization, or visual analytics, which combine the exactness and compactness of quantitative data with the richness and communication of qualitative communication.}},
  author       = {{Runeson, Per}},
  booktitle    = {{Perspectives on Data Science for Software Engineering}},
  editor       = {{Menzies, Tim and Williams, Laurie and Zimmermann, Thomas}},
  isbn         = {{9780128042069}},
  language     = {{eng}},
  month        = {{07}},
  pages        = {{303--309}},
  publisher    = {{Elsevier}},
  title        = {{Mere numbers aren't enough: A plea for Visialization}},
  url          = {{http://dx.doi.org/10.1016/B978-0-12-804206-9.00055-6}},
  doi          = {{10.1016/B978-0-12-804206-9.00055-6}},
  year         = {{2016}},
}