Visualization for Data Science: Adding Credibility, Legitimacy, and Saliency

Ross Maciejewski; Douglas Montgomery

doi:10.1089/big.2016.29007.vis

Visualization for Data Science: Adding Credibility, Legitimacy, and Saliency

Research output: Contribution to journal › Editorial › peer-review

Original language	English (US)
Pages (from-to)	73-74
Number of pages	2
Journal	Big Data
Volume	4
Issue number	2
DOIs	https://doi.org/10.1089/big.2016.29007.vis
State	Published - Jun 1 2016

ASJC Scopus subject areas

Information Systems
Computer Science Applications
Information Systems and Management

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10.1089/big.2016.29007.vis

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title = "Visualization for Data Science: Adding Credibility, Legitimacy, and Saliency",

author = "Ross Maciejewski and Douglas Montgomery",

year = "2016",

month = jun,

day = "1",

doi = "10.1089/big.2016.29007.vis",

language = "English (US)",

volume = "4",

pages = "73--74",

journal = "Big Data",

issn = "2167-6461",

publisher = "Mary Ann Liebert Inc.",

number = "2",

}

TY - JOUR

T1 - Visualization for Data Science

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AU - Montgomery, Douglas

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M3 - Editorial

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AN - SCOPUS:84991769832

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VL - 4

SP - 73

EP - 74

JO - Big Data

JF - Big Data

IS - 2

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Visualization for Data Science: Adding Credibility, Legitimacy, and Saliency

ASJC Scopus subject areas

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