Ευαγγελίδης, ΓεώργιοςΜάστορας, ΙωάννηςΔιπλωματική εργασία--Πανεπιστήμιο Μακεδονίας, Θεσσαλονίκη, 2025.Made available in DSpace on 2025-02-06T10:59:46Z (GMT). No. of bitstreams: 2 license_rdf: 1025 bytes, checksum: 84a900c9dd4b2a10095a94649e1ce116 (MD5) MastorasIoannisMsc2025.pdf: 1458765 bytes, checksum: 2ca6c537733b0d474ba5a82f76e57f3a (MD5) Previous issue date: 2025-02-06Submitted by ΙΩΑΝΝΗΣ ΜΑΣΤΟΡΑΣ (aid23006@uom.edu.gr) on 2025-02-06T10:38:00Z No. of bitstreams: 2 license_rdf: 1025 bytes, checksum: 84a900c9dd4b2a10095a94649e1ce116 (MD5) MastorasIoannisMsc2025.pdf: 1458765 bytes, checksum: 2ca6c537733b0d474ba5a82f76e57f3a (MD5)Approved for entry into archive by ΕΛΙΣΑΒΕΤ ΧΑΝΤΑΒΑΡΙΔΟΥ (elisach@uom.edu.gr) on 2025-02-06T10:59:46Z (GMT) No. of bitstreams: 2 license_rdf: 1025 bytes, checksum: 84a900c9dd4b2a10095a94649e1ce116 (MD5) MastorasIoannisMsc2025.pdf: 1458765 bytes, checksum: 2ca6c537733b0d474ba5a82f76e57f3a (MD5)CAR application is an integrated tool created for this thesis, which aims to help users deal with the conventional process of preprocessing data and then prepare them for interpretation prior visualization in an interactive R Shiny interface. As data processing becomes increasingly automated in a variety of domains (e.g., healthcare, social sciences, business sectors etc.), CAR is designed to make advanced statistical methods and machine learning models readily accessible for users who lack extensive programming or knowledge on statistics by democratizing the practice of data analysis. CAR provides the following key features: Automated data cleaning and imputation methods, customizable data visualizations and comprehensive suite of statistical & machine learning algorithms. Main topics include abstracting the data analysis workflow, ingesting and cleaning data, analyzing them with multiple statistical tests, extracting features from several machine learning models or even creating visualizations using custom animations only after a few lines. CAR helps us build a bridge for different professions to solve real-time big data quality management and automated analysis problems, improving the efficiency of research work in practice. Through performance testing with a real-world dataset, the thesis evaluates CAR's functionality as well as its usability and versatility. Overall, this work has the potential to offer immediate and direct benefits in a way that bridges complex data science methodologies all the way over to end-user-friendly data exploration of datasets thus enabling better access & policy making. The creation of the CAR application is a big advance in disseminating state-of the-art data analysis methods to more people who may not have deep technical or statistical expertise. By automatically preprocessing data and analyzing them to derive valuable and meaningful insights, CAR democratizes the field of data science enabling experts as well as novices with little technical knowledge in deriving key takeaways from their datasets which can be critical for evidence-based decision making across several domains.http://dspace.lib.uom.gr/handle/2159/32135Πανεπιστήμιο ΜακεδονίαςΑναφορά Δημιουργού - Παρόμοια Διανομή 4.0 Διεθνέςhttp://creativecommons.org/licenses/by-sa/4.0/Statistical analysisData visualizationMachine learningAutomated analysisR ShinyCar (clean and analyze in r), an integrated tool for automated data preprocessing, analysis and visualization using r shinyElectronic Thesis or DissertationText2025Τεχνητή νοημοσύνηArtificial Intelligenceisi - Computer Science, Artificial Intelligence covers resources that focus on research and techniques to create machines that attempt to efficiently reason, problem-solve, use knowledge representation, and perform analysis of contradictory or ambiguous information. This category includes resources on artificial intelligence technologies such as expert systems, fuzzy systems, natural language processing, speech recognition, pattern recognition, computer vision, decision-support systems, knowledge bases, and neural networks.Μεταπτυχιακή εργασίαMaster thesisΠανεπιστήμιο ΜακεδονίαςGreek Aggregator OpenArchives.gr | National Documentation Centre (EKT)