Data visualization and statistical graphics in big data analysis

Dianne Cook, Eun-Kyung Lee, Mahbubul Majumder

Research output: Contribution to journalReview ArticleResearchpeer-review

Abstract

This article discusses the role of data visualization in the process of analyzing big data. We describe the historical origins of statistical graphics, from the birth of exploratory data analysis to the impacts of statistical graphics on practice today. We present examples of contemporary data visualizations in the process of exploring airline traffic, global standardized test scores, election monitoring, Wikipedia edits, the housing crisis as observed in San Francisco, and the mining of credit card databases. We provide a review of recent literature. Good data visualization yields better models and predictions and allows for the discovery of the unexpected.

LanguageEnglish
Pages133-159
Number of pages27
JournalAnnual Review of Statistics and Its Application
Volume3
DOIs
Publication statusPublished - 1 Jun 2016

Keywords

  • Exploratory data analysis
  • High-dimensional data
  • Information visualization
  • Interactive graphics
  • Visual analytics

Cite this

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Data visualization and statistical graphics in big data analysis. / Cook, Dianne; Lee, Eun-Kyung; Majumder, Mahbubul.

In: Annual Review of Statistics and Its Application, Vol. 3, 01.06.2016, p. 133-159.

Research output: Contribution to journalReview ArticleResearchpeer-review

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