Exploring Exploratory Data Analysis

Detalhes bibliográficos
Autor(a) principal: Barsalou, Matthew
Data de Publicação: 2023
Outros Autores: Saraiva, Pedro Manuel, Henriques, Roberto
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/161163
Resumo: Barsalou, M., Saraiva, P. M., & Henriques, R. (2023). Exploring Exploratory Data Analysis: An Empirical Test of Run Chart Utility. Management Systems in Production Engineering, 31(4), 442-448. https://doi.org/10.2478/mspe-2023-0050
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spelling Exploring Exploratory Data AnalysisAn Empirical Test of Run Chart UtilityExploratory Data Analysisgraphsroot cause analysisproblem solvingManagement Information SystemsIndustrial and Manufacturing EngineeringManagement of Technology and InnovationBarsalou, M., Saraiva, P. M., & Henriques, R. (2023). Exploring Exploratory Data Analysis: An Empirical Test of Run Chart Utility. Management Systems in Production Engineering, 31(4), 442-448. https://doi.org/10.2478/mspe-2023-0050This paper explores Exploratory Data Analysis (EDA). Graphical methods are used to gain insights in EDA and these insights can be useful for forming tentative hypotheses when performing a root cause analysis (RCA). The topic of EDA is well addressed in the literature; however, empirical studies of the efficacy of EDA are lacking. We therefore aim to evaluate EDA by comparing one group of students identifying salient features in a table against a second group of students attempting to identify salient features in the same data presented in the form of a run chart, and then extracting relevant conclusions from such a comparison. Two groups of students were randomly selected to receive data; either in the form of a table or a run chart. They were then tasked with visually identifying any data points that stood out as interesting. The number of correctly identified values and the time to find the values were both evaluated by a two-sample t-test to determine if there was a statistically significant difference. The participants with a graph found the correct values that stood out in the data much quicker than those that used a table. Those using the data in the form of a table too much longer and failed to identify values that stood out. However, those with a graph also had far more false positives. Much has been written on the topic of EDA in the literature; however, an empirical evaluation of this common methodology is lacking. This paper confirms with empirical evidence the effectiveness of EDA.Information Management Research Center (MagIC) - NOVA Information Management SchoolNOVA Information Management School (NOVA IMS)RUNBarsalou, MatthewSaraiva, Pedro ManuelHenriques, Roberto2023-12-12T22:51:21Z2023-12-012023-12-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article7application/pdfhttp://hdl.handle.net/10362/161163eng2299-0461PURE: 78168749https://doi.org/10.2478/mspe-2023-0050info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-06-10T01:47:41Zoai:run.unl.pt:10362/161163Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-06-10T01:47:41Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Exploring Exploratory Data Analysis
An Empirical Test of Run Chart Utility
title Exploring Exploratory Data Analysis
spellingShingle Exploring Exploratory Data Analysis
Barsalou, Matthew
Exploratory Data Analysis
graphs
root cause analysis
problem solving
Management Information Systems
Industrial and Manufacturing Engineering
Management of Technology and Innovation
title_short Exploring Exploratory Data Analysis
title_full Exploring Exploratory Data Analysis
title_fullStr Exploring Exploratory Data Analysis
title_full_unstemmed Exploring Exploratory Data Analysis
title_sort Exploring Exploratory Data Analysis
author Barsalou, Matthew
author_facet Barsalou, Matthew
Saraiva, Pedro Manuel
Henriques, Roberto
author_role author
author2 Saraiva, Pedro Manuel
Henriques, Roberto
author2_role author
author
dc.contributor.none.fl_str_mv Information Management Research Center (MagIC) - NOVA Information Management School
NOVA Information Management School (NOVA IMS)
RUN
dc.contributor.author.fl_str_mv Barsalou, Matthew
Saraiva, Pedro Manuel
Henriques, Roberto
dc.subject.por.fl_str_mv Exploratory Data Analysis
graphs
root cause analysis
problem solving
Management Information Systems
Industrial and Manufacturing Engineering
Management of Technology and Innovation
topic Exploratory Data Analysis
graphs
root cause analysis
problem solving
Management Information Systems
Industrial and Manufacturing Engineering
Management of Technology and Innovation
description Barsalou, M., Saraiva, P. M., & Henriques, R. (2023). Exploring Exploratory Data Analysis: An Empirical Test of Run Chart Utility. Management Systems in Production Engineering, 31(4), 442-448. https://doi.org/10.2478/mspe-2023-0050
publishDate 2023
dc.date.none.fl_str_mv 2023-12-12T22:51:21Z
2023-12-01
2023-12-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/161163
url http://hdl.handle.net/10362/161163
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2299-0461
PURE: 78168749
https://doi.org/10.2478/mspe-2023-0050
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv mluisa.alvim@gmail.com
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