Automated data analysis in quantitative research: Prototyping an automation software for obtaining fast and reliable insights in quantitative research settings

Bibliographic Details
Main Author: Wahrenburg, Gero
Publication Date: 2023
Format: Master thesis
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10362/149645
Summary: Project Work presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Information Analysis and Management
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spelling Automated data analysis in quantitative research: Prototyping an automation software for obtaining fast and reliable insights in quantitative research settingsResearch automationAutomationAutoMLResearch processAutomated data miningProject Work presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Information Analysis and Managementproject results report introduces a work project in which a prototype was built as a “proof of concept” for a data analysis tool that automates data preparation, exploration and modeling tasks within empirical research settings. Empirical research currently relies on manual processing and analysis of data. In order to enhance research efficiency and to support users, this work can be automated. In particular, tasks such as preprocessing, exploring and analyzing data with statistical methods can be simplified using an automated workflow. The comprehensive tool envisioned should react flexibly to a variety of data input and incorporate a wide range of conventional analyses. It should produce a structured and formulated research report of Word (.docx) format to facilitate further user manipulation. It should communicate with the user through an intuitive web tool. Exploring the possibility of such a tool, which is the scope of this work project, included the programming of a less comprehensive “proof of concept” tool. This prototype performs, upon the exploration and preprocessing of the data, linear regression with OLS estimation on a cross-sectional data set. The prototype was successfully developed and tested on multiple data sets. It is ready to support users without programming skills or access to proprietary software in preprocessing and exploring their data and finding relationships between different variables. Every step of the analysis is explained to the user in the comprehensive automatically generated output report. The prototype provides a basis on which the functionality can be extended towards other use cases such as time series tasks as well as towards offering access to the application of more complex algorithms.António, Nuno Miguel da ConceiçãoRUNWahrenburg, Gero2023-02-24T17:12:39Z2023-01-252023-01-25T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/149645TID:203237218enginfo:eu-repo/semantics/embargoedAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-22T18:09:29Zoai:run.unl.pt:10362/149645Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:39:54.206092Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Automated data analysis in quantitative research: Prototyping an automation software for obtaining fast and reliable insights in quantitative research settings
title Automated data analysis in quantitative research: Prototyping an automation software for obtaining fast and reliable insights in quantitative research settings
spellingShingle Automated data analysis in quantitative research: Prototyping an automation software for obtaining fast and reliable insights in quantitative research settings
Wahrenburg, Gero
Research automation
Automation
AutoML
Research process
Automated data mining
title_short Automated data analysis in quantitative research: Prototyping an automation software for obtaining fast and reliable insights in quantitative research settings
title_full Automated data analysis in quantitative research: Prototyping an automation software for obtaining fast and reliable insights in quantitative research settings
title_fullStr Automated data analysis in quantitative research: Prototyping an automation software for obtaining fast and reliable insights in quantitative research settings
title_full_unstemmed Automated data analysis in quantitative research: Prototyping an automation software for obtaining fast and reliable insights in quantitative research settings
title_sort Automated data analysis in quantitative research: Prototyping an automation software for obtaining fast and reliable insights in quantitative research settings
author Wahrenburg, Gero
author_facet Wahrenburg, Gero
author_role author
dc.contributor.none.fl_str_mv António, Nuno Miguel da Conceição
RUN
dc.contributor.author.fl_str_mv Wahrenburg, Gero
dc.subject.por.fl_str_mv Research automation
Automation
AutoML
Research process
Automated data mining
topic Research automation
Automation
AutoML
Research process
Automated data mining
description Project Work presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Information Analysis and Management
publishDate 2023
dc.date.none.fl_str_mv 2023-02-24T17:12:39Z
2023-01-25
2023-01-25T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/149645
TID:203237218
url http://hdl.handle.net/10362/149645
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dc.language.iso.fl_str_mv eng
language eng
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instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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