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undergraduate thesis
Usporedna analiza alata za vizualizaciju podataka
Zagreb: University of Zagreb, Faculty of Humanities and Social Sciences, 2021. urn:nbn:hr:131:108770
Mišković, Ivana
University of Zagreb
Faculty of Humanities and Social Sciences
Department of information and Communication sciences

Institutional repository: ODRAZ

Cite this document

Mišković, I. (2021). Usporedna analiza alata za vizualizaciju podataka (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Humanities and Social Sciences. Retrieved from https://urn.nsk.hr/urn:nbn:hr:131:108770

Mišković, Ivana. "Usporedna analiza alata za vizualizaciju podataka." Undergraduate thesis, University of Zagreb, Faculty of Humanities and Social Sciences, 2021. https://urn.nsk.hr/urn:nbn:hr:131:108770

Mišković, Ivana. "Usporedna analiza alata za vizualizaciju podataka." Undergraduate thesis, University of Zagreb, Faculty of Humanities and Social Sciences, 2021. https://urn.nsk.hr/urn:nbn:hr:131:108770

Mišković, I. (2021). 'Usporedna analiza alata za vizualizaciju podataka', Undergraduate thesis, University of Zagreb, Faculty of Humanities and Social Sciences, accessed 27 November 2024, https://urn.nsk.hr/urn:nbn:hr:131:108770

Mišković I. Usporedna analiza alata za vizualizaciju podataka [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Humanities and Social Sciences; 2021 [cited 2024 November 27] Available at: https://urn.nsk.hr/urn:nbn:hr:131:108770

I. Mišković, "Usporedna analiza alata za vizualizaciju podataka", Undergraduate thesis, University of Zagreb, Faculty of Humanities and Social Sciences, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:131:108770

Metadata
TitleUsporedna analiza alata za vizualizaciju podataka
Title (english)Comparative analysis of data visualization tools
AuthorIvana Mišković
MentorKristina Kocijan (mentor)
Committee memberVedran Juričić (predsjednik povjerenstva)
Committee memberSanja Kišiček (član povjerenstva)
Committee memberKristina Kocijan (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Humanities and Social Sciences
(Department of information and Communication sciences)
Zagreb
Defense date and country2021-09-16, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Abstract
Ovaj rad pruža pregled vizualizacije podataka te njezin razvoj, primjenu i vizualna rješenja, poput grafikona i tablica. Objašnjeno je kako vizualizacija podataka ima široku primjenu u gotovo svim djelatnostima, kao što su obrazovanje, znanost i poslovna inteligencija. Razvojem tehnologije, napredovali su također alati za vizualizaciju podataka. U radu je navedeno deset alata za vizualizaciju podataka: Microsoft Power BI, Tableau, Infogram, ChartBlocks, QlikView, SAP, Oracle, Chart.js, Datawrapper i Pentaho. Opisane su njihove karakteristike i procesi analize, organizacije i obrade podataka. Alati za vizualizaciju podataka zatim su uspoređeni prema više kriterija, kao što su: operacijski sustavi koje podržavaju, mogućnost implementacije podataka na računalu ili u oblaku, skupini korisnika kojoj su namijenjeni, mogućnost besplatnog probnog razdoblja te cijena. Alati za vizualizaciju podataka koji zadovoljavaju navedene kriterije karakterizirani su kao najbolja rješenja prilikom njihova odabira.
Abstract (english)
This paper provides an overview of data visualization and its development, application, and visual solutions, such as graphs and tables. It is explained that data visualization has wide application in almost all industries, such as education, science and business intelligence. With the development of technology, data visualization tools have also advanced. The paper lists ten data visualization tools: Microsoft Power BI, Tableau, Infogram, ChartBlocks, QlikView, SAP, Oracle, Chart.js, Datawrapper and Pentaho. Their characteristics and processes of analysis, organization and data processing are described. The data visualization tools were then compared according to several criteria, such as: the operating systems they support, the ability to implement the data on a computer or in the cloud, the group of users they are intended for, the possibility of a free trial, and the price. Data visualization tools that meet the above criteria are characterized as the best solutions when selecting them.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:131:108770
Study programmeTitle: Information Sciences
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informacijskih znanosti (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informacijskih znanosti)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2021-09-16 11:48:23