TY - JOUR
T1 - Data Visualization and Statistical Graphics in Big Data Analysis
AU - Cook, DIanne
AU - Lee, Eun Kyung
AU - Majumder, Mahbubul
N1 - Publisher Copyright:
Copyright ©2016 by Annual Reviews. All rights reserved.
PY - 2016/6/1
Y1 - 2016/6/1
N2 - 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.
AB - 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.
KW - Exploratory data analysis
KW - High-dimensional data
KW - Information visualization
KW - Interactive graphics
KW - Visual analytics
UR - http://www.scopus.com/inward/record.url?scp=84973320543&partnerID=8YFLogxK
U2 - 10.1146/annurev-statistics-041715-033420
DO - 10.1146/annurev-statistics-041715-033420
M3 - Review article
AN - SCOPUS:84973320543
SN - 2326-8298
VL - 3
SP - 133
EP - 159
JO - Annual Review of Statistics and Its Application
JF - Annual Review of Statistics and Its Application
ER -