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undergraduate thesis
Istraživačka analiza podataka o čokoladi
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:737064
Avirović, Marin
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Avirović, M. (2022). Istraživačka analiza podataka o čokoladi (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:737064

Avirović, Marin. "Istraživačka analiza podataka o čokoladi." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:737064

Avirović, Marin. "Istraživačka analiza podataka o čokoladi." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:737064

Avirović, M. (2022). 'Istraživačka analiza podataka o čokoladi', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 27 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:737064

Avirović M. Istraživačka analiza podataka o čokoladi [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 December 27] Available at: https://urn.nsk.hr/urn:nbn:hr:168:737064

M. Avirović, "Istraživačka analiza podataka o čokoladi", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:737064

Metadata
TitleIstraživačka analiza podataka o čokoladi
Title (english)Exploratory analysis of the chocolate data
AuthorMarin Avirović
MentorMarina Bagić Babac (mentor)
Committee memberMarina Bagić Babac (predsjednik povjerenstva)
Committee memberMarko Horvat (član povjerenstva)
Committee memberMihael Kovač (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-07-01, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Cilj ovog rada je istražiti podatke o čokoladi koji su dostupni na internetu kako bi se došlo do odgovora na pitanja kao što su: koje tvrtke proizvode najbolju čokoladu, koje države uzgajaju najbolja kakaova zrna te koje sastojke sadrži najbolja čokolada. Na ova će se pitanja odgovoriti koristeći ANOVA-u. Uz to, izgradit će se model linearne regresije koji će predviđati ocjene različitih čokolada koristeći podatke o tvrtki koja proizvodi čokoladu, specifičnom podrijetlu kakaovog zrna, prvom okusu, drugom okusu i postotku kakaa u čokoladi. Nadalje, napravit će se analiza sentimenta na tweetovima koji sadrže hashtag #chocolate kako bi se utvrdilo jesu li osjećaji ljudi vezani uz temu čokolade više pozitivni ili negativni.
Abstract (english)
The purpose of this thesis paper is to explore an online dataset about chocolate bar ratings to come up with answers to the questions such as which companies produce the best chocolate bar, which countries grow the best cocoa beans, and which ingredients does the best chocolate bar contain. These questions are answered using ANOVA. Additionally, a linear regression model is created which predicts the ratings of chocolate bars based on the company that produces it, specific bean origin or bar name, first taste, second taste, and the percentage of cocoa in the chocolate bar. Furthermore, a sentiment analysis is performed on tweets containing #chocolate in order to see whether the emotions of people are more positive or negative regarding the topic of chocolate.
Keywords
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:168:737064
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 on2023-01-15 09:41:41