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Data Visualization and Statistical Graphics in Big Data Analysis

Title
Data Visualization and Statistical Graphics in Big Data Analysis
Authors
Cook, DianneLee, Eun-KyungMajumder, Mahbubul
Ewha Authors
이은경
SCOPUS Author ID
이은경scopus
Issue Date
2016
Journal Title
ANNUAL REVIEW OF STATISTICS AND ITS APPLICATION, VOL 3
ISSN
2326-8298JCR Link

2326-831XJCR Link
Citation
ANNUAL REVIEW OF STATISTICS AND ITS APPLICATION, VOL 3 vol. 3, pp. 133 - 159
Keywords
exploratory data analysisinformation visualizationvisual analyticshigh-dimensional datainteractive graphics
Publisher
ANNUAL REVIEWS
Indexed
SCOPUS WOS scopus
Document Type
Review

Book Chapter
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.
DOI
10.1146/annurev-statistics-041715-033420
ISBN
978-0-8243-3603-5
Appears in Collections:
자연과학대학 > 통계학전공 > Journal papers
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