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undergraduate thesis
Analiza proizvodnje hidroelektrana sliva Cetine
Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2021. urn:nbn:hr:179:252026
Grgurević, Ela
University of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
Department of Power Engineering

Institutional repository: Repository of the Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture

Cite this document

Grgurević, E. (2021). Analiza proizvodnje hidroelektrana sliva Cetine (Undergraduate thesis). Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:179:252026

Grgurević, Ela. "Analiza proizvodnje hidroelektrana sliva Cetine." Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2021. https://urn.nsk.hr/urn:nbn:hr:179:252026

Grgurević, Ela. "Analiza proizvodnje hidroelektrana sliva Cetine." Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2021. https://urn.nsk.hr/urn:nbn:hr:179:252026

Grgurević, E. (2021). 'Analiza proizvodnje hidroelektrana sliva Cetine', Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, accessed 11 August 2024, https://urn.nsk.hr/urn:nbn:hr:179:252026

Grgurević E. Analiza proizvodnje hidroelektrana sliva Cetine [Undergraduate thesis]. Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture; 2021 [cited 2024 August 11] Available at: https://urn.nsk.hr/urn:nbn:hr:179:252026

E. Grgurević, "Analiza proizvodnje hidroelektrana sliva Cetine", Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:179:252026

Metadata
TitleAnaliza proizvodnje hidroelektrana sliva Cetine
AuthorEla Grgurević
MentorJosip Vasilj (mentor)
GranterUniversity of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
(Department of Power Engineering)
Split
Defense date and country2021-09-23, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom završnom radu na početku su opisane značajke programskog jezika Python. Opisala se i analiza podataka, osnovne činjenice o njoj poput metoda, tehnika i alata analize podataka te procesi analize. Podaci za obradu su bili energetski podaci hidroelektrana sliva rijeke Cetine pohranjeni u Excel datotekama. Opisane su i kroz primjere prikazane faze prikupljanja, obrade i istraživanja podataka te interpretacija rezultata. Praktični dio kroz dokumentiranu izradu pokazuje neke od Pandasovih funkcionalnosti. Budući da su podaci organizirani vremenski, opisan je i vremenski niz podataka te prikazana primjena nekih Pandasovih funkcija na takvom skupu podataka. Na kraju su podaci prikazani grafički pomoću Matplotlib biblioteke i iznesena su zapažanja i obrasci. Zaključkom na samom kraju rada zaokružena je tematika završnog rada – zbog čega je važna analiza podataka kao grana računarstva te kako Python može olakšati cijeli proces analize.
Abstract (english)
To begin with, this bachelor thesis explains features of Python programming language. Data analysis, basic facts about it such as methods, techniques, tools and processes are described. The data for processing was the energy data of the hydroelectric power plants of the Cetina river basin stored in Excel files. Phases of data collection, processing and research and interpretation of the results are described and shown through examples. The practical part of thesis through documented production shows some of Pandas' functionalities. Since the data is organized over time, the structure called Pandas Time Series is described and some of its functions are shown. Finally, the data is presented graphically using the Matplotlib library and observations and patterns are presented. The conclusion at the very end of the paper completes the topic of this bachelos thesis - which is why data analysis is important as a branch of computer science and how Python can facilitate entire process of analyzes.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:179:252026
Study programmeTitle: Computing
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
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Created on2021-12-06 09:35:57