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undergraduate thesis
Grafičko izvještavanje o biološkim podacima u Pythonu
2020. urn:nbn:hr:166:024783
Maljković, Jelena
University of Split
Faculty of Science
Department of Informatics

Cite this document

Maljković, J. (2020). Grafičko izvještavanje o biološkim podacima u Pythonu (Undergraduate thesis). Split: University of Split, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:166:024783

Maljković, Jelena. "Grafičko izvještavanje o biološkim podacima u Pythonu." Undergraduate thesis, University of Split, Faculty of Science, 2020. https://urn.nsk.hr/urn:nbn:hr:166:024783

Maljković, Jelena. "Grafičko izvještavanje o biološkim podacima u Pythonu." Undergraduate thesis, University of Split, Faculty of Science, 2020. https://urn.nsk.hr/urn:nbn:hr:166:024783

Maljković, J. (2020). 'Grafičko izvještavanje o biološkim podacima u Pythonu', Undergraduate thesis, University of Split, Faculty of Science, accessed 19 April 2024, https://urn.nsk.hr/urn:nbn:hr:166:024783

Maljković J. Grafičko izvještavanje o biološkim podacima u Pythonu [Undergraduate thesis]. Split: University of Split, Faculty of Science; 2020 [cited 2024 April 19] Available at: https://urn.nsk.hr/urn:nbn:hr:166:024783

J. Maljković, "Grafičko izvještavanje o biološkim podacima u Pythonu", Undergraduate thesis, University of Split, Faculty of Science, Split, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:166:024783

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Metadata
TitleGrafičko izvještavanje o biološkim podacima u Pythonu
Title (english)Biological data visualisation and reporting in Python
AuthorJelena Maljković
MentorHrvoje Kalinić (mentor)
Committee memberHrvoje Kalinić (predsjednik povjerenstva)
Committee memberDivna Krpan (član povjerenstva)
Committee memberMarin Aglić Čuvić (član povjerenstva)
GranterUniversity of Split
Faculty of Science
(Department of Informatics)
Split
Defense date and country2020-09-21, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Zadatak ovoga rada je analiza bioloških podataka i njihov grafički prikaz uz pomoć triju odabranih biblioteka u pythonu: matplotlib, plotly i bokeh. Usporedit ćemo brzinu izrade grafova po biblioteci, te odlučiti koja od njih je dala najbolje rezultate što se tiče interaktivnosti grafova i lakoće izrade. Uz te tri biblioteke koristit ćemo pandas alat kako bi podatke, koji su apstraktni i koji imaju određene hijerarhije po kojima se mogu promatrati, pripremili za korištenje. Sve to radimo u želji da na najbolji način približimo rezultate analize podataka biolozima i drugim znanstvenicima koje bi to moglo zanimati.
Abstract (english)
The focus of this paper is data analysis of biological data and their graphical visualisation with the help of three chosen libraries in Python: matplotlib, plotly and bokeh. We will compare the speed of creating graphs in the libraries and decide which one of them gave the best results in terms of their interactivity and ease of creation, In addition to these libraries, we will use the pandas tool to prepare the data before use, because the data is abstract and has certain hierarchies by which it can be observed. We do all this to bring closer the results of data analysis in the best possible way to biologists and other scientists who might be interested.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:166:024783
Study programmeTitle: Computer Science
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informatike (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informatike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
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Created on2021-01-14 10:46:19