Data Visualization and Statistical Graphics in Big Data Analysis

DIanne Cook, Eun Kyung Lee, Mahbubul Majumder

Research output: Contribution to journalReview article

7 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)133-159
Number of pages27
JournalAnnual Review of Statistics and Its Application
Volume3
DOIs
StatePublished - Jun 1 2016

Fingerprint

Statistical Graphics
Data Visualization
Data analysis
Exploratory Data Analysis
Wikipedia
Score Test
Elections
Mining
Traffic
Monitoring
Prediction
Data visualization
Model

Keywords

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

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

Cite this

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 article

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