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    Rights statement: Copyright: © 2015 Ellis and Merdian. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Thinking outside the box: developing dynamic data visualizations for psychology with Shiny

Research output: Contribution to journalJournal article

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Thinking outside the box : developing dynamic data visualizations for psychology with Shiny. / Ellis, David Alexander; Merdian, Hannah.

In: Frontiers in Psychology, Vol. 6, No. 1782, 01.12.2015.

Research output: Contribution to journalJournal article

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Ellis, David Alexander ; Merdian, Hannah. / Thinking outside the box : developing dynamic data visualizations for psychology with Shiny. In: Frontiers in Psychology. 2015 ; Vol. 6, No. 1782.

Bibtex

@article{9c393354ba984e5f811fe7aee522c1dd,
title = "Thinking outside the box: developing dynamic data visualizations for psychology with Shiny",
abstract = "The study of human perception has helped psychologists effectively communicate data rich stories by converting numbers into graphical illustrations and data visualization remains a powerful means for psychology to discover, understand and present results to others. However, despite an exponential rise in computing power, the World Wide Web and ever more complex data sets, psychologists often limit themselves to static visualizations. While these are often adequate, their application across professional psychology remains limited. This is surprising as it is now possible to build dynamic representations based around simple or complex psychological data sets. Previously, knowledge of HTML, CSS or Java was essential, but here we develop several interactive visualizations using a simple web application framework that runs under the R statistical platform: Shiny. Shiny can help researchers quickly produce interactive data visualizations that will supplement and support current and future publications. This has clear benefits for researchers, the wider academic community, students, practitioners, and interested members of the public.",
keywords = "visualization, knoweldge-exchange, Research Methods, statistics,, r, shiny",
author = "Ellis, {David Alexander} and Hannah Merdian",
note = "Copyright: {\textcopyright} 2015 Ellis and Merdian. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. ",
year = "2015",
month = dec
day = "1",
doi = "10.3389/fpsyg.2015.01782",
language = "English",
volume = "6",
journal = "Frontiers in Psychology",
issn = "1664-1078",
publisher = "Frontiers Media S.A.",
number = "1782",

}

RIS

TY - JOUR

T1 - Thinking outside the box

T2 - developing dynamic data visualizations for psychology with Shiny

AU - Ellis, David Alexander

AU - Merdian, Hannah

N1 - Copyright: © 2015 Ellis and Merdian. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

PY - 2015/12/1

Y1 - 2015/12/1

N2 - The study of human perception has helped psychologists effectively communicate data rich stories by converting numbers into graphical illustrations and data visualization remains a powerful means for psychology to discover, understand and present results to others. However, despite an exponential rise in computing power, the World Wide Web and ever more complex data sets, psychologists often limit themselves to static visualizations. While these are often adequate, their application across professional psychology remains limited. This is surprising as it is now possible to build dynamic representations based around simple or complex psychological data sets. Previously, knowledge of HTML, CSS or Java was essential, but here we develop several interactive visualizations using a simple web application framework that runs under the R statistical platform: Shiny. Shiny can help researchers quickly produce interactive data visualizations that will supplement and support current and future publications. This has clear benefits for researchers, the wider academic community, students, practitioners, and interested members of the public.

AB - The study of human perception has helped psychologists effectively communicate data rich stories by converting numbers into graphical illustrations and data visualization remains a powerful means for psychology to discover, understand and present results to others. However, despite an exponential rise in computing power, the World Wide Web and ever more complex data sets, psychologists often limit themselves to static visualizations. While these are often adequate, their application across professional psychology remains limited. This is surprising as it is now possible to build dynamic representations based around simple or complex psychological data sets. Previously, knowledge of HTML, CSS or Java was essential, but here we develop several interactive visualizations using a simple web application framework that runs under the R statistical platform: Shiny. Shiny can help researchers quickly produce interactive data visualizations that will supplement and support current and future publications. This has clear benefits for researchers, the wider academic community, students, practitioners, and interested members of the public.

KW - visualization

KW - knoweldge-exchange

KW - Research Methods

KW - statistics,

KW - r

KW - shiny

U2 - 10.3389/fpsyg.2015.01782

DO - 10.3389/fpsyg.2015.01782

M3 - Journal article

VL - 6

JO - Frontiers in Psychology

JF - Frontiers in Psychology

SN - 1664-1078

IS - 1782

ER -