Data Visualization and Statistical Graphics in Big Data Analysis

Posted: 3 Jun 2016

See all articles by Dianne Cook

Dianne Cook

Monash University - Department of Econometrics & Business Statistics

Eun-Kyung Lee

Ewha Womans University - Department of Statistics

Mahbubul Majumder

University of Nebraska at Omaha

Date Written: June 2016

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.

Suggested Citation

Cook, Dianne and Lee, Eun-Kyung and Majumder, Mahbubul, Data Visualization and Statistical Graphics in Big Data Analysis (June 2016). Annual Review of Statistics and Its Application, Vol. 3, Issue 1, pp. 133-159, 2016, Available at SSRN: https://ssrn.com/abstract=2789508 or http://dx.doi.org/10.1146/annurev-statistics-041715-033420

Dianne Cook (Contact Author)

Monash University - Department of Econometrics & Business Statistics ( email )

Wellington Road
Clayton, Victoria 3168
Australia

Eun-Kyung Lee

Ewha Womans University - Department of Statistics ( email )

Seoul 120-
Korea, Republic of (South Korea)

Mahbubul Majumder

University of Nebraska at Omaha ( email )

6001 Dodge Street
Omaha, NE 68182
United States

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