Grafičko izvještavanje o biološkim podacima u Pythonu ; Biological data visualisation and reporting in Python
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| Název: | Grafičko izvještavanje o biološkim podacima u Pythonu ; Biological data visualisation and reporting in Python |
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| Autoři: | Maljković, Jelena |
| Přispěvatelé: | Kalinić, Hrvoje |
| Informace o vydavateli: | Sveučilište u Splitu. Prirodoslovno-matematički fakultet. Odjel za informatiku. University of Split. University of Split, Faculty of science. Department of Informatics. |
| Rok vydání: | 2020 |
| Sbírka: | Croatian Digital Theses Repository (National and University Library in Zagreb) |
| Témata: | TEHNIČKE ZNANOSTI. Računarstvo, TECHNICAL SCIENCES. Computing, python, matplotlib, plotly, bokeh, vizualizacija podataka, pretraživanje podataka, data visualisation, data exploration |
| Popis: | 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. ; 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. |
| Druh dokumentu: | bachelor thesis |
| Popis souboru: | application/pdf |
| Jazyk: | Croatian |
| Relation: | https://zir.nsk.hr/islandora/object/pmfst:1047; https://urn.nsk.hr/urn:nbn:hr:166:024783; https://repozitorij.svkst.unist.hr/islandora/object/pmfst:1047; https://repozitorij.svkst.unist.hr/islandora/object/pmfst:1047/datastream/PDF |
| Dostupnost: | https://zir.nsk.hr/islandora/object/pmfst:1047 https://urn.nsk.hr/urn:nbn:hr:166:024783 https://repozitorij.svkst.unist.hr/islandora/object/pmfst:1047 https://repozitorij.svkst.unist.hr/islandora/object/pmfst:1047/datastream/PDF |
| Rights: | http://rightsstatements.org/vocab/InC/1.0/ ; info:eu-repo/semantics/restrictedAccess |
| Přístupové číslo: | edsbas.B250324B |
| Databáze: | BASE |
Nájsť tento článok vo Web of Science | Abstrakt: | 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. ; 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. |
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