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Wiz: A Web-Based Tool for Interactive Visualization of Big Data

In an age of information, visualizing and discerning meaning from data is as important as its collection. Interactive data visualization addresses both fronts by allowing researchers to explore data beyond what static images can offer. Here, we present Wiz, a web-based application for handling and v...

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Detalles Bibliográficos
Autores principales: Balzer, Christopher, Oktavian, Rama, Zandi, Mohammad, Fairen-Jimenez, David, Moghadam, Peyman Z.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7691393/
https://www.ncbi.nlm.nih.gov/pubmed/33294864
http://dx.doi.org/10.1016/j.patter.2020.100107
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author Balzer, Christopher
Oktavian, Rama
Zandi, Mohammad
Fairen-Jimenez, David
Moghadam, Peyman Z.
author_facet Balzer, Christopher
Oktavian, Rama
Zandi, Mohammad
Fairen-Jimenez, David
Moghadam, Peyman Z.
author_sort Balzer, Christopher
collection PubMed
description In an age of information, visualizing and discerning meaning from data is as important as its collection. Interactive data visualization addresses both fronts by allowing researchers to explore data beyond what static images can offer. Here, we present Wiz, a web-based application for handling and visualizing large amounts of data. Wiz does not require programming or downloadable software for its use and allows scientists and non-scientists to unravel the complexity of data by splitting their relationships through 5D visual analytics, performing multivariate data analysis, such as principal component and linear discriminant analyses, all in vivid, publication-ready figures. With the explosion of high-throughput practices for materials discovery, information streaming capabilities, and the emphasis on industrial digitalization and artificial intelligence, we expect Wiz to serve as an invaluable tool to have a broad impact in our world of big data.
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spelling pubmed-76913932020-12-07 Wiz: A Web-Based Tool for Interactive Visualization of Big Data Balzer, Christopher Oktavian, Rama Zandi, Mohammad Fairen-Jimenez, David Moghadam, Peyman Z. Patterns (N Y) Descriptor In an age of information, visualizing and discerning meaning from data is as important as its collection. Interactive data visualization addresses both fronts by allowing researchers to explore data beyond what static images can offer. Here, we present Wiz, a web-based application for handling and visualizing large amounts of data. Wiz does not require programming or downloadable software for its use and allows scientists and non-scientists to unravel the complexity of data by splitting their relationships through 5D visual analytics, performing multivariate data analysis, such as principal component and linear discriminant analyses, all in vivid, publication-ready figures. With the explosion of high-throughput practices for materials discovery, information streaming capabilities, and the emphasis on industrial digitalization and artificial intelligence, we expect Wiz to serve as an invaluable tool to have a broad impact in our world of big data. Elsevier 2020-09-23 /pmc/articles/PMC7691393/ /pubmed/33294864 http://dx.doi.org/10.1016/j.patter.2020.100107 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Descriptor
Balzer, Christopher
Oktavian, Rama
Zandi, Mohammad
Fairen-Jimenez, David
Moghadam, Peyman Z.
Wiz: A Web-Based Tool for Interactive Visualization of Big Data
title Wiz: A Web-Based Tool for Interactive Visualization of Big Data
title_full Wiz: A Web-Based Tool for Interactive Visualization of Big Data
title_fullStr Wiz: A Web-Based Tool for Interactive Visualization of Big Data
title_full_unstemmed Wiz: A Web-Based Tool for Interactive Visualization of Big Data
title_short Wiz: A Web-Based Tool for Interactive Visualization of Big Data
title_sort wiz: a web-based tool for interactive visualization of big data
topic Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7691393/
https://www.ncbi.nlm.nih.gov/pubmed/33294864
http://dx.doi.org/10.1016/j.patter.2020.100107
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