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undergraduate thesis
R Shiny web aplikacija za praćenje podataka o Covid-19 pandemiji i kratkoročno predviđanje kretanja pandemije
Osijek: Josip Juraj Strossmayer University of Osijek, Department of Mathematics, 2022. urn:nbn:hr:126:015136
Bardić, Lucija
Josip Juraj Strossmayer University of Osijek
Department of Mathematics

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Bardić, L. (2022). R Shiny web aplikacija za praćenje podataka o Covid-19 pandemiji i kratkoročno predviđanje kretanja pandemije (Undergraduate thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:126:015136

Bardić, Lucija. "R Shiny web aplikacija za praćenje podataka o Covid-19 pandemiji i kratkoročno predviđanje kretanja pandemije." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, 2022. https://urn.nsk.hr/urn:nbn:hr:126:015136

Bardić, Lucija. "R Shiny web aplikacija za praćenje podataka o Covid-19 pandemiji i kratkoročno predviđanje kretanja pandemije." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, 2022. https://urn.nsk.hr/urn:nbn:hr:126:015136

Bardić, L. (2022). 'R Shiny web aplikacija za praćenje podataka o Covid-19 pandemiji i kratkoročno predviđanje kretanja pandemije', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, accessed 28 March 2023, https://urn.nsk.hr/urn:nbn:hr:126:015136

Bardić L. R Shiny web aplikacija za praćenje podataka o Covid-19 pandemiji i kratkoročno predviđanje kretanja pandemije [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Department of Mathematics; 2022 [cited 2023 March 28] Available at: https://urn.nsk.hr/urn:nbn:hr:126:015136

L. Bardić, "R Shiny web aplikacija za praćenje podataka o Covid-19 pandemiji i kratkoročno predviđanje kretanja pandemije", Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Department of Mathematics, Osijek, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:126:015136

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Metadata
TitleR Shiny web aplikacija za praćenje podataka o Covid-19 pandemiji i kratkoročno predviđanje kretanja pandemije
Title (english)R Shiny Web Application for Tracking Covid-19 Pandemic Data and Short-Term Prediction of Progression of the Pandemic
AuthorLucija Bardić
MentorDanijel Grahovac (mentor)
GranterJosip Juraj Strossmayer University of Osijek
Department of Mathematics
Osijek
Defense date and country2022-06-02, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Applied Mathematics and Mathematical Modeling
Abstract
U ovom radu bit će objašnjeno korištenje paketa Shiny iz programskog jezika R koji služi za izradu interaktivnih web aplikacija. Kao primjer bit će objašnjena web aplikacija koja automatski svakodnevno ažurira podatke vezane uz pandemiju koronavirusa (broj novozaraženih, izliječenih, umrlih i sl.) na osnovu javno dostupnih izvora. Također, u drugom dijelu rada bit će predstavljen model koji služi za kratkoročno predviđanje kretanja zaraze.
Abstract (english)
This paper will explain usage of Shiny, a package from programming language R, which helps in making interactive web applications. As an example, the paper will present a web application that makes automatic daily updates of data regarding Covid-19 pandemic (number of new cases, recovered, deaths etc.) using open source databases. Also, the second part of the paper will present a model used for short-term prediction of progression of the pandemic.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:126:015136
Study programmeTitle: University undergraduate study programme in mathematics
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) matematike (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) matematike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
RepositoryRepository of Department of Mathematics Osijek
Created on2022-06-03 07:54:58