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undergraduate thesis
Primjena programskog jezika F# u analizi i prikazu podataka
2020. urn:nbn:hr:200:372569
Bilonić, Barbara
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Programming Languages and Systems

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Bilonić, B. (2020). Primjena programskog jezika F# u analizi i prikazu podataka (Undergraduate thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:372569

Bilonić, Barbara. "Primjena programskog jezika F# u analizi i prikazu podataka." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2020. https://urn.nsk.hr/urn:nbn:hr:200:372569

Bilonić, Barbara. "Primjena programskog jezika F# u analizi i prikazu podataka." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2020. https://urn.nsk.hr/urn:nbn:hr:200:372569

Bilonić, B. (2020). 'Primjena programskog jezika F# u analizi i prikazu podataka', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 18 November 2024, https://urn.nsk.hr/urn:nbn:hr:200:372569

Bilonić B. Primjena programskog jezika F# u analizi i prikazu podataka [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2020 [cited 2024 November 18] Available at: https://urn.nsk.hr/urn:nbn:hr:200:372569

B. Bilonić, "Primjena programskog jezika F# u analizi i prikazu podataka", Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:200:372569

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Metadata
TitlePrimjena programskog jezika F# u analizi i prikazu podataka
Title (english)Application of F# programming language in data analysis and visualization
AuthorBarbara Bilonić
MentorGoran Martinović (mentor)
Committee memberGoran Martinović (predsjednik povjerenstva)
Committee memberZdravko Krpić (član povjerenstva)
Committee memberČaslav Livada (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Software Engineering)
(Chair of Programming Languages and Systems)
Osijek
Defense date and country2020-09-15, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Program Engineering
Abstract
Funkcionalno programiranje jedna je od programskih paradigmi koja ima mnoge primjene. Jedna od primjena funkcionalnog programiranja je analiza podataka. U ovom radu je u programskom jeziku F# ostvaren program za analizu podataka. Taj program analizira podatke o emisijama ugljikovog dioksida, BDP-u i postotku korištenja energije dobivene iz obnovljivih izvora za pojedine regije u svijetu računajući Pearsonov i Spearmanov koeficijent korelacije. Prije izračunavanja koeficijenata korelacije potrebno je dohvatiti podatke iz CSV datoteke te filtrirati vrijednosti potrebne za izračun koeficijenata. Pomoću grafičkog sučelja implementiranog u jeziku C#, program omogućuje prikaz vrijednosti koeficijenata za izabranu regiju kao i prikaz grafova vrijednosti indikatora te regije. Iz izračunatih koeficijenata korelacije može se vidjeti jesu li indikatori korelirani i podudaraju li se vrijednosti Spearmanovog i Pearsonovog koeficijenta korelacije ili među njihovim vrijednostima postoji veća razlika.
Abstract (english)
Functional programming is one of the programming paradigms that has many applications. One of which is data analysis. In this paper F# was used to realize a program for data analysis. That program analyses carbon dioxide emissions, GDP and percentage of renewable energy use data for individual regions in the world by calculating Pearson’s and Spearman’s correlation coefficients. Before calculating correlation coefficients, it is necessary to extract data from CSV file and filter it so that only the needed values remain. Through graphical user interface implemented in C# the program enables display of values of the coefficients for chosen region as well as charts which display values of the indicators. From calculated correlation coefficients it is possible to see if the indicators are in correlation and whether the values of Spearman’s and Pearson’s coefficients match or is there a difference between them.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:372569
Study programmeTitle: Undergraduate University Study Programme in Computer Engineering
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
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Created on2020-11-11 11:44:04