Transforming scagnostics to reveal hidden features

Tuan Nhon Dang, Leland Wilkinson

Research output: Contribution to journalArticle

21 Scopus citations

Abstract

Scagnostics (Scatterplot Diagnostics) were developed by Wilkinson et al. based on an idea of Paul and John Tukey, in order to discern meaningful patterns in large collections of scatterplots. The Tukeys' original idea was intended to overcome the impediments involved in examining large scatterplot matrices (multiplicity of plots and lack of detail). Wilkinson's implementation enabled for the first time scagnostics computations on many points as well as many plots. Unfortunately, scagnostics are sensitive to scale transformations. We illustrate the extent of this sensitivity and show how it is possible to pair statistical transformations with scagnostics to enable discovery of hidden structures in data that are not discernible in untransformed visualizations.

Original languageEnglish
Article number6875999
Pages (from-to)1624-1632
Number of pages9
JournalIEEE Transactions on Visualization and Computer Graphics
Volume20
Issue number12
DOIs
StatePublished - Dec 31 2014

Keywords

  • High-Dimensional Visual Analytics
  • Scagnostics
  • Scatterplot matrix
  • Transformation

Fingerprint Dive into the research topics of 'Transforming scagnostics to reveal hidden features'. Together they form a unique fingerprint.

Cite this