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undergraduate thesis
ANALIZA PODATAKA U PYTHONU
2023. urn:nbn:hr:228:335592
Sesar, Andrea
University of Split
University Department of Professional Studies
Department of Computing

Cite this document

Sesar, A. (2023). ANALIZA PODATAKA U PYTHONU (Undergraduate thesis). Split: University of Split. Retrieved from https://urn.nsk.hr/urn:nbn:hr:228:335592

Sesar, Andrea. "ANALIZA PODATAKA U PYTHONU." Undergraduate thesis, University of Split, 2023. https://urn.nsk.hr/urn:nbn:hr:228:335592

Sesar, Andrea. "ANALIZA PODATAKA U PYTHONU." Undergraduate thesis, University of Split, 2023. https://urn.nsk.hr/urn:nbn:hr:228:335592

Sesar, A. (2023). 'ANALIZA PODATAKA U PYTHONU', Undergraduate thesis, University of Split, accessed 21 April 2024, https://urn.nsk.hr/urn:nbn:hr:228:335592

Sesar A. ANALIZA PODATAKA U PYTHONU [Undergraduate thesis]. Split: University of Split; 2023 [cited 2024 April 21] Available at: https://urn.nsk.hr/urn:nbn:hr:228:335592

A. Sesar, "ANALIZA PODATAKA U PYTHONU", Undergraduate thesis, University of Split, Split, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:228:335592

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Metadata
TitleANALIZA PODATAKA U PYTHONU
Title (english)DATA ANALYSIS USING THE PROGRAMMING LANGUAGE PYTHON
AuthorAndrea Sesar
MentorLada Sartori (mentor)
Committee memberIvan Kedžo (član povjerenstva)
Committee memberKarmen Klarin (član povjerenstva)
GranterUniversity of Split
(University Department of Professional Studies)
(Department of Computing)
Split
Defense date and country2023-09-20, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Cilj ovog završnog rada je pružiti jasan vizualni prikaz podataka o putovanjima, omogućavajući korisnicima jednostavnu analizu i istraživanje. Aplikacija se sastoji od dva ključna dijela: korisničkog sučelja i administratorskog sučelja. Poslužiteljski dio aplikacije (engl. backend) izrađen je korištenjem programskog jezika Python. Za manipulaciju podataka i izradu korisničkog sučelja (engl. frontend) korištena je Streamlit biblioteka, kroz koju je korištenjem ostalih biblioteka programskog jezika Python, poput biblioteke Pandas, omogućeno upravljanje, filtriranje i analiza podataka. Vizualizacija podataka provedena je koristeći Plotly Express, pomoću kojeg su izrađeni grafički prikazi. Baza podataka je implementirana pomoću relacijske baze podataka SQLite, koja se temelji na sučelju strukturiranog jezika upita (engl. Structured Query Language - SQL). Za pregled baze podataka korišten je DB browser. Razvojni alat Visual Studio Code (dalje u tekstu: VS Code) korišten je kao glavni uređivač kôda kroz cijelu izradu projekta.
Abstract (english)
The main goal of this thesis is to provide a clear visual representation of travel data, in a simpler and better way for users. The application consists of two parts meant to be used by the user and administrator. The backend part of the application was created using the Python programming language. The Streamlit library is used for data manipulation and creation of the user interface (frontend), through which other libraries of the Python programming language are used, such as the Pandas library, enabling data management, filtering, and analysis. The database is implemented using the SQLite relational database, which is based on the Structured Query Language (SQL) interface. DB browser is used to view the database. The Visual Studio Code (VS Code) development tool is the primary code editor throughout the entire project creation.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:228:335592
Study programmeTitle: Computing
Study programme type: professional
Study level: undergraduate
Academic / professional title: prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2023-11-21 11:48:06